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In our third installment of our seminar series, we are joined by Sayash Kapoor, Ph.D. candidate at Princeton University's Center for Information Technology Policy. Sayash will talk about his most recent work that challenges the presumed accuracy of AI/ML systems in social settings:

"We are constantly surrounded by exciting headlines and bold claims about artificial intelligence (AI), making it difficult to critically assess the truth behind these statements. In this talk, we'll look at the reasons behind AI hype and explore practical ways to resist it. We will start with common pitfalls in journalism that lead to public confusion. Then, we'll look at how non-reproducible research exaggerates AI claims. Finally, we will explore the strategies used by profit-driven companies to overstate AI technologies, ultimately shaping public perception."

We encourage academics and students from all areas as well as interested laypeople to join us! The talk will be held online.

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In our third installment of our seminar series, we are joined by Sayash Kapoor, Ph.D. candidate at Princeton University's Center for Information Technology Policy. Sayash will talk about his most recent work that challenges the presumed accuracy of AI/ML systems in social settings: "We are constantly surrounded by exciting headlines and bold claims about artificial intelligence (AI), making it difficult to critically assess the truth behind these statements.

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INTRODUCTION

Artificial intelligence is creating a new world order

Over the last few years, an increasing number of scholars have argued that the impact of AI is repeating the patterns of colonial history. European colonialism, they say, was characterized by the violent capture of land, extraction of resources, and exploitation of people-for example, through slavery-for the economic enrichment of the conquering country. While it would diminish the depth of past traumas to say the AI industry is repeating this violence today, it is now using other, more insidious means to enrich the wealthy and powerful at the great expense of the poor.

Read the full introduction.

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An MIT Technology Review Series: AI Colonialism

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INTRODUCTION Over the last few years, an increasing number of scholars have argued that the impact of AI is repeating the patterns of colonial history. European colonialism, they say, was characterized by the violent capture of land, extraction of resources, and exploitation of people-for example, through slavery-for the economic enrichment of the conquering country.

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Knowing Machines is a research project tracing the histories, practices, and politics of how machine learning systems are trained to interpret the world.

We are developing critical methodologies and tools for understanding, analyzing, and investigating training datasets, and studying their role in the construction of "ground truth" for machine learning. Our research addresses how datasets index the world, make predictions, and structure knowledge cultures. Working with an international team, we aim to support the emerging field of critical data studies by contributing research, reading lists, research tools, and supporting communities of inquiry that are focused on the foundational epistemologies of machine learning.

Knowing Machines is sponsored by the Alfred P. Sloan Foundation.

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Knowing Machines is a research project tracing the histories, practices, and politics of how machine learning systems are trained to interpret the world. We are developing critical methodologies and tools for understanding, analyzing, and investigating training datasets, and studying their role in the construction of "ground truth" for machine learning.

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 Pittsburgh Task Force on Public Algorithms

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 Pittsburgh Task Force on Public Algorithms

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Local agencies across the United States are deploying algorithms with little oversight and, sometimes, little awareness of the potential consequences. The Pittsburgh Task Force on Public Algorithms seeks to establish best practices and practical guidance for municipalities seeking to ensure algorithmic accountability and equity for all residents.

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Pittsburgh Task Force on Public Algorithms

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Local agencies across the United States are deploying algorithms with little oversight and, sometimes, little awareness of the potential consequences. The Pittsburgh Task Force on Public Algorithms seeks to establish best practices and practical guidance for municipalities seeking to ensure algorithmic accountability and equity for all residents.

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WHO WE ARE

Te Kāhui Raraunga Charitable Trust (Te Kāhui Raraunga or TKR) is an independant body established in 2019 to lead action required to realise the advocacy of the Data Iwi Leaders Group (Data ILG). TKR's aim is to enhance the social, cultural, environmental, and economic well-being of Māori; to enable iwi, hapū and whānau Māori to access, collect and use Māori data to measure and identify areas of Māori well-being requiring change; to support innovation and research that advances the use of Māori data; to educate Māori on the benefits of collection and use of Māori data; and to promote and advance opportunities for iwi, hapū and whānau Māori to share knowledge and information relating to collection and use of Māori data.

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The Data ILG was originally established in 2016 in response to the increasing need for iwi to better harness the potential of data to enable iwi development and to advance data and digital kaupapa with the Crown. Data ILG aims to ensure full and free access and control over data about and for iwi, to empower iwi development. Presently, the Data ILG consists of six Chairs from Te Arawa, Ngāti Porou, Te Whānau-a-Apanui, Ngāti Rangi, Waikato-Tainui, Ngāti Korokii-Kahukura and Ngāpuhi. Three of these Chairs are trustees on the TKR Board.

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TKR have an established Mana Ōrite relationship with Statistics New Zealand, through which both organisations advance specific kaupapa in relation to iwi and Māori data. The relationship is based on the principal of equal explanatory power, so that both parties acknowledge and accept that each other's perspectives, knowledge systems and world views are equally valid. The relationship is in addition to, and not a substitute for, the broader Māori-Crown relationship, including with individual iwi and hapū.

TKR has been in discussions with other government agencies and private enterprises to explore the potential for other Mana Ōrite relationships.

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In 2021 TKR will launch our strategic plan, with our guiding whakataukī:

He kura ka huna, He kura ka whākina, e koropupū ana te wai ora!

Te Whākinatanga

Building the Iwi Data Eco-System Requires Quantum Leap Strategies

Mana Ōrite - Stats NZ

Realising the potential of data to make a sustainable, positive difference for iwi, hapū, whānau.

Te Whata

A customisable data platform built by iwi for iwi to support mana motuhake decisions

Click here for tutorial videos

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Link to Te Whata in the button below​

Māori Data Governance

Co-designing a system-wide model for Māori data governance to ensure data design, collection and dissemination serves iwi and Māori needs

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WHO WE ARE Te Kāhui Raraunga Charitable Trust (Te Kāhui Raraunga or TKR) is an independant body established in 2019 to lead action required to realise the advocacy of the Data Iwi Leaders Group (Data ILG).

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We are an interdisciplinary and globally distributed AI research institute.

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Partnership on AI - Home - Partnership on AI

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Bringing together diverse voices from across the AI Community

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Living With Data is a group of research projects which aim to understand the new role of data in society, in times of 'datafication', a term to describe the way in which many aspects of social life are increasingly transformed into quantitative data. Advocates of datafication argue that data-driven change results in a wide range of benefits. Critics are concerned about the harms and risks that result from widespread datafication. But what do citizens and members of the public think? How does datafication affect them? What do they know about it, how do they perceive and experience it, how do they feel about it? The projects described on this website are all concerned about living with data - that is, how datafication is affecting the lives of ordinary people.

Our current research, Living With Data: understanding people's knowledge, experiences and perceptions of data practices, is funded by The Nuffield Foundation and runs from September 2019 to March 2022. Previous research has been funded by AHRC, ESRC, EPSRC, BBC R&D and the Norwegian Research Council.

Latest

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About the Living With Data website - Living with data

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Living With Data is a group of research projects which aim to understand the new role of data in society, in times of 'datafication', a term to describe the way in which many aspects of social life are increasingly transformed into quantitative data. Advocates of datafication argue that data-driven change results in a wide range [...]

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Advancing Data Justice - A collaboration between the Global Partnership on AI, the Alan Turing Institute, and individuals and communities across the world

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The objective of this project is to fill a gap in data justice research and practice and provide resources that help policymakers, practitioners, and impacted communities gain a broader understanding of data governance.

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bigdataliteracy.net – CBDALN – Critical Big Data and Algorithmic Literacy Network

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(1) To promote interdisciplinary dialogue about different concepts and approaches for fostering critical literacies (2) To build a database of learning materials (3) To set up learning and research labs for developing new content and exchanging ideas.

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Parental social license for data linkage for service intervention

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Parental social license for data linkage for service intervention

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The National Data Strategy encourages the UK's central and local government to team up with the private sector to digitally share and join up records to inform and improve services. One example of this is the area of troublesome families, where it's thought that the use of merged records and algorithms can help spot or pre-empt issues by intervening early. But there are questions over this approach and this is something our project has been looking into. In our first published journal article, we have been examining the rationales presented by the parties behind data analytics used in this context to see if they really do present solutions.

The application of algorithmic tools is a form of technological solution; based on indicators in the routinely collected data, in an effort to draw out profiles, patterns and predictions that enable services to target and fix troublesome families. But local authorities often need to turn to commercial data analytic companies to build the required digital systems and algorithms.

In our paper we analysed national and local government reports and statements, and the websites of data analytic companies, addressing data linkage and analytics in the family intervention field. We looked in particular at rationales for and against data integration and analytics. We use a 'problem-solving' analytic approach, which focuses on how issues are produced as particular sorts of problems that demand certain sorts of solutions to fix them. This helps us to identify a double-faceted chain of problems and solutions.

Seeking and targeting families

Families in need of intervention and costing public money are identified as a social problem and local authorities given the responsibility of fixing that problem. Local authorities need to seek out and target these families for intervention. And it is experts in data analytics that, in turn, will solve that identification problem for them. In turn companies are reliant on citizens being turned into data (datafied) by local authorities and other public services.

We identified three main sorts of rationales in the data analytic companies promotion of their products that will solve local authorities' problems: the power of superior knowledge, harnessing time, and economic efficiency.

Companies promote their automated data analytics products as powerful and transformational. They hand control of superior, objective and accurate, knowledge to local authorities so that they can use profiling criteria to identify families where there are hidden risks, for intervention. And their systems help local authority services such as social care and education collaborate with other services like health and the police, through data sharing and integration.

Data analytics is presented as harnessing time in the service of local authorities as an early warning system that enables them quickly to identify families as problems arise. It is the provision of an holistic view based on existing past records that local authorities hold about families, and the inputting of 'real time' present administrative data on families as it comes in. In turn, this provides foresight, helping local authorities into the future - predicting which families are likely to become risks in advance and acting to pre-empt this, planning ahead using accurate information.

Another key selling point for data analytics companies is that their products allow economic efficiency. Local authorities will know how much families cost them, and can make assured decisions about where to put or withdraw resources of finances and staffing. Data analytic products produce data trails that cater for local authorities to prepare Government returns and respond to future central Government payment-by-results initiatives, maximising the income that can be secured for their constrained budgets.

Questions to be asked

But there are questions to be asked about whether or not data linkage and analytics does provide powerful and efficient solutions, which we consider in our article. Concerns have been raised about the errors and bias in administrative records, resulting in unfair targeting of certain families.

Particular groups of parents and families are disproportionately represented in social security, social care and criminal justice systems, leading to existing social divisions of class, race and gender built into the data sets. For example, there is evidence that racial and gender profiling discriminations are built into the data, such as the inclusion of young Black men who have never been in trouble in the Metropolitan Police Gangs Matrix. And automated modelling equates socio-economic disadvantage with risk of child maltreatment, meaning that families are more likely to be identified for early intervention just because they are poor. On top of that, studies drawing on longitudinal data are showing that the success rates of predictive systems are worryingly low.

All of which raise a more fundamental question of whether or not algorithms should be built and implemented for services that intervene in families' lives. In the next stage of our research, we will be asking parents about their views on this and on the way that information about families is collected and used by policy-makers and service providers.

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Parental social licence for data linkage for service intervention

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The National Data Strategy encourages the UK's central and local government to team up with the private sector to digitally share and join up records to inform and improve services. One example of this is the area of troublesome families, where it's thought that the use of merged records and algorithms can help spot or pre-empt issues by intervening early.

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Leverhulme Centre for the Future of Intelligence

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Leverhulme Centre for the Future of Intelligence

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AI is hugely exciting. Its practical applications can help us to tackle important social problems, as well as easing many tasks in everyday life. And it has advanced the sciences of mind and life in fundamental ways. But it has limitations, which present grave dangers given uncritical use. CFI aims to pre-empt these dangers, by guiding AI-development in human-friendly ways.

AI pioneer Professor Margaret Boden

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Leverhulme Centre for the Future of Intelligence: Futures and Foresight

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AI is hugely exciting. Its practical applications can help us to tackle important social problems, as well as easing many tasks in everyday life. And it has advanced the sciences of mind and life in fundamental ways. But it has limitations, which present grave dangers given uncritical use.

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Evidence review
Elliot Jones

AI foundation models are integrated into commonly used applications and are used informally in the public sector

Evidence review
Understanding public attitudes and how to involve the public in decision-making about AI

Blog
Melis Mevsimler

What we can learn from missing evidence on digital contact tracing and vaccine passports?

Blog
Clíodhna Ní Ghuidhir

What can we learn from policy successes and failures, to ensure frontier AI regulations are effective in practice?

Blog
Reaching consensus at the AI Safety Summit will not be easy - so what can the Government do to improve its chances of success?

Blog
Belkis Wille , Katja Lindskov Jacobsen

How has biometric data collection caused harm in the context of humanitarian interventions and where do future risks lie?

Event
The event follows a three-year long programme of research, conducted in partnership with The Health Foundation.

Event
Recommendations to strengthen the Government's proposed framework

Event
We will share some more information on Ada's research interests, our roles, the hiring process, and what life is like as an Ada researcher

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An independent research institute with a mission to ensure data and AI work for people and society

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ARC Centre of Excellence | Automated Decision Making | ADM+S

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The ARC Centre of Excellence for Automated Decision-Making and Society aims to create knowledge and strategies for ethical automated decision-making.

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AI-DR Program Automated Decision-Making and the Law Clearinghouse Project Automated decision-making or the use of Artificial Intelligence (AI) as part of organizational processes has now become a regular feature of ...

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We are a network of people and projects, rooted in Detroit and connected to hundreds of other places across the globe. Together, we grow and exchange ways of using media to create the world we need.

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We are a network of people and projects, rooted in Detroit and connected to hundreds of other places across the globe. Together, we grow and exchange ways of using media to create the world we need.

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Join the Algorithmic Justice League in the movement towards equitable and accountable AI.

We combine art and research to illuminate the social implications and harms of AI.
Watch Video

In today's world, AI systems are used to decide who gets hired, the quality of medical treatment we receive, and whether we become a suspect in a police investigation. While these tools show great promise, they can also harm vulnerable and marginalized people, and threaten civil rights. Unchecked, unregulated and, at times, unwanted, AI systems can amplify racism, sexism, ableism, and other forms of discrimination.

The Algorithmic Justice League's mission is to raise awareness about the impacts of AI, equip advocates with empirical research, build the voice and choice of the most impacted communities, and galvanize researchers, policy makers, and industry practitioners to mitigate AI harms and biases. We're building a movement to shift the AI ecosystem towards equitable and accountable AI.

Coded Bias: a documentary

Learn how the Algorithmic Justice League began in the Coded Bias film. The film highlights the stories of people who have been impacted by harmful technology and shows pioneering women sounding the alarm about the threats artificial intelligence poses to civil rights. The documentary premieres at the Sundance Film Festival in January 2020.
Learn more

Become an agent of change.

Become an agent of the Algorithmic Justice League and help us grow the movement towards equitable and accountable AI.

Respect isn't just about being recognized or not recognized.

It is also about having agency regarding the processes that govern our lives. As companies, governments, and law enforcement agencies use AI to make decisions about our opportunities and freedoms, we must demand that we are respected as people.

Join the Algorithmic Justice League in the movement towards equitable and accountable AI.

Technology should serve all of us. Not just the privileged few.
SIGN UP

You've seen the film. Now help us build the movement!

Become a monthly sustainer and help the Algorithmic Justice League build a movement towards equitable and accountable AI.

MAKE A DONATION

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Algorithmic Justice League - Unmasking AI harms and biases

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Artificial intelligence can amplify racism, sexism, and other forms of discrimination. We deserve more accountable and equitable AI.

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We are a network of people and projects, rooted in Detroit and connected to hundreds of other places across the globe. Together, we grow and exchange ways of using media to create the world we need.

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We are a network of people and projects, rooted in Detroit and connected to hundreds of other places across the globe. Together, we grow and exchange ways of using media to create the world we need.

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Artificial Intelligence, digital policy, public policy, data protection, innovation, democratic values, human rights, CAIDP, non-profit corporation, Washington, DC, founder - Marc Rotenberg

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Skip to Content

At the Center for Democracy & Technology (CDT), we believe in the power of the internet. Whether it's facilitating entrepreneurial endeavors, providing access to new markets and opportunities, or creating a platform for free speech, the internet empowers, emboldens and equalizes people around the world.

2m+

Number of views in millions our election security PSAs on mail-in voting & misinformation were viewed.

3

Number of email newsletters created around bubbling policy areas like student privacy & equity, AI, and internet governance.

42K+

Number of lifetime plays of CDT's long-standing podcast, Tech Talks.

1000+

Hours of pro bono support from our Collaborating Attorney Network. .

The Latest from CDT

We are a team of experts with deep knowledge of issues pertaining to the internet, privacy, security, technology, and intellectual property. We come from academia, private enterprise, government, and the non-profit worlds to translate complex policy into action.

Tech is all around you - and now, insights on the tech policies that are shaping your digital world can be added to your podcast playlist. You can find CDT's Tech Talk on Spotify, SoundCloud, iTunes, and Google Play, as well as Stitcher and TuneIn.

Do the possibilities presented by an innovative, open, and free internet inspire you? Do you find yourself engaged in passionate discussions about privacy policies? Are you yearning to put your expertise to work on Internet neutrality legislation? If so, you might be a great fit for our team. View our open opportunities.

See Openings

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Home - Center for Democracy and Technology

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A 501(c)(3) working to promote democratic values by shaping technology policy and architecture, with a focus on the rights of the individual. CDT supports laws, corporate policies, and technological tools that protect privacy and security and enable free speech online.

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The Centre for Artificial Intelligence and Public Policy (CAIPP) is dedicated to exploring policy, regulation, ethics and governance associated with the implementation of artificial intelligence. We champion innovative and interdisciplinary research into the analysis of the costs and benefits of this important new technology.

The Centre studies AI-related policies proposed and/or implemented internationally, and participates in the wide-ranging international investigation of the impacts of AI. It pays particular attention to evaluating policy options for New Zealand.

Drawing together the University of Otago's research expertise on the social effects of AI

The Centre draws together in a single forum the University of Otago's considerable research expertise on the social effects of AI, providing a hub for collaboration between a number of existing initiatives at the university. These include:

The New Zealand Law Foundation funded Artificial Intelligence and Law in New Zealand Project which is based in the Faculty of Law and the Departments of Computer Science and Philosophy.

The University of Otago's Artificial Intelligence and Society Group which includes over 50 researchers and graduate students from a broad group of academic disciplines including: computer science, law, philosophy, economics, information science, linguistics, politics, psychology, and sociology.

Providing advice for government ministries

The Centre also acts in an advisory capacity to the Ministries of Broadcasting, Communications and Digital Media, and Government Digital Services.

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Centre for Artificial Intelligence and Public Policy (CAIPP)

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The Centre for Artificial Intelligence and Public Policy (CAIPP) is dedicated to exploring policy, regulation, ethics and governance associated with the implementation of artificial intelligence. We champion innovative and interdisciplinary research into the analysis of the costs and benefits of this important new technology.

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Amazon's constant tracking of their workers evolved from centuries of dehumanizing practices, practices that began in slavery. There is no doubt that slavery was incomparable in its brutality. Yet these practices continue to serve as a blueprint.

For example, after slavery, many recently freed slaves became sharecroppers. Though sharecroppers were technically free, sharecropping created a new system of entrapment.

Today, apps like Mentor help big companies find ways to underpay productive workers. Mentor is glitchy, dinging drivers for things completely outside their control, like getting a call from a family member - even if they did not pick up the call. Drivers say low scores can result in disciplinary actions, being taken off the work schedule, losing access to bonuses, and being removed from optimal delivery routes.

A key part of Facebook's business model is selling targeted ads. In theory, this means companies advertise to only those consumers who are most likely to buy their product. In practice, Facebook's filters allow advertisers to act upon the same racial prejudices in advertising that have existed throughout our history.

When people discovered this, they were outraged. Several organizations and individuals filed class action lawsuits against Facebook for discriminatory advertising practices.

Racial discrimination in advertising is not new. For over a hundred years after the Civil War, Jim Crow laws and segregation practices allowed businesses to use explicitly racist advertising, like posting "whites only" signs in their windows. The size and scope of Facebook's advertising reach makes it dangerous on a different scale.

The reporting by ProPublica and Consumer Reports showed that zip codes were a factor in the algorithms that determine insurance rates. We know that zip code data is laced with the legacy of redlining and segregation.

From the 1930s to 1970s, banks used redlining to deny Black people loans, marking Black neighborhoods in red to designate them as too risky for loans. Denying Black communities access to loans in the past led to the racial wealth gap and continued residential segregation that exists today. Using zip code to determine insurance rates perpetuates the legacy of redlining's racism.

Because car insurance companies do not willingly share their algorithms with regulators or the public, it is hard to make demands to address their algorithms' racist outcomes. We don't know if zip codes are the only variable in the algorithm that's producing racist results or if there are other factors contributing to these disparities.

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Amazon's constant tracking of their workers evolved from centuries of dehumanizing practices, practices that began in slavery. There is no doubt that slavery was incomparable in its brutality. Yet these practices continue to serve as a blueprint. For example, after slavery, many recently freed slaves became sharecroppers.

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Data & Society advances public understanding of the social implications of data-centric technologies and automation.

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We are an Alaska Native and womxn-led non-profit stewarding a database for missing and murdered Indigenous womxn, girls and relatives in Alaska.

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This project explores the meaning of social justice in an age of datafication. It is premised on two significant developments: 1) the shift to a focus on the collection and processing of massive amounts of data across social life and 2) the increasing concern with the societal implications of such processes. Whilst initial concern with the technical ability to 'datafy' and collect information on ever-more social activity focused on surveillance and privacy, increasing emphasis is being placed on the fact that data processes are not 'flat' and do not implicate everyone in the same way, but, rather, are part of a system of 'social sorting', creating new categories of citizens, and premised on an emerging order of 'have' and 'have nots' between data profilers and data subjects. In such a context, questions of social justice and datafication require detailed study. This project frames this research agenda around the notion of 'data justice'.
Read more about the project

Topics

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Data justice project - DATAJUSTICE project

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This project explores the meaning of social justice in an age of datafication. It is premised on two significant developments: 1) the shift to a focus on the collection and processing of massive amounts of data across social life and

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Big Brother Watch: Defending Civil Liberties, Protecting Privacy

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Big Brother Watch: Defending Civil Liberties, Protecting Privacy

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Big Brother Watch exposes and challenges threats to our privacy, our freedoms and our civil liberties at a time of enormous technological change in the UK.

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Hello and welcome to Bot Populi! We are an alternative media platform dedicated to looking at all things digital from a social justice and Global South perspective. We aim to meaningfully shape the public discourse on digitalization and prompt important conversations about transformative change for a better digital future.

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Data as protest. Data as accountability. Data as collective action.

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Hello world! 🙂 We are DATACTIVE, a research project and a research collective exploring the politics of big data broadly defined. We take a critical look at massive data collection, privacy and surveillance | social movements, activism and internet activism | internet infrastructure, cybersecurity and their governance | open data and civic tech networks.

The Department of Media Studies and the Amsterdam School of Cultural Analysis at the University of Amsterdam are our nests. We are grateful to the European Research Council (StG-2014_639379) for the great opportunity to engage in collective, critical thinking about the relationship between people, data and technologies.

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Hello world! 🙂 We are DATACTIVE, a research project and a research collective exploring the politics of big data broadly defined. We take a critical look at massive data collection, privacy and surveillance | social movements, activism and internet activism | internet infrastructure, cybersecurity and their governance | open data and civic tech networks.

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On June 21, 2015, 30 people gathered in a session called "Generating Shared Principles for Design Justice" at the Allied Media Conference in Detroit. The participants identified as designers, artists, technologists, and community organizers. We developed a set of Principles together that have been refined over time, and that currently read as follows:

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Design justice rethinks design processes, centers people who are normally marginalized by design, and uses collaborative, creative practices to address the deepest challenges our communities face.

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ACCESS | PARTICIPATION | COMMON OWNERSHIP | HEALTHY COMMUNITIES

Rooted in the Detroit Digital Justice Principles, Detroit Community Technology Project's (DCTP) mission is to use and create technology rooted in community needs that strengthens neighbors' connection to each other, and to the planet.

We are community technologists - those with the desire to design, build and facilitate a healthy integration of technology into people's lives and communities, allowing them the fundamental human right to communicate. We work to demystify technology and expand digital literacy in our communities through two primary community technology programs: our Data Justice Program and our Equitable Internet Initiative.

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Rooted in the Detroit Digital Justice Principles, Detroit Community Technology Project's (DCTP) mission is to use and create technology rooted in community needs that strengthens neighbors' connection to each other, and to the planet. We are community technologists - those with the desire to design, build and facilitate a healthy integration of technology into people's lives and communities, allowing them the fundamental human right to communicate.

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We focused on youth activities at this Data DiscoTech because every resident in Detroit should have data literacy, including kids, so they can navigate and shape the future of Detroit as it moves towards a smart city infrastructure.

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Environmental Data and Governance Initiative

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Our working group meets every Thursday from 2:30pm EST - 3:30pm EST online. If you are interested in joining, please e-mail edj@envirodatagov.org.

Who are we?

The Environmental Data Justice (EDJ) Working Group works with the productive frictions between emerging data justice concerns and long standing principles of environmental justice. While data justice has challenged the nonconsensual use of data in surveillance practices, policing, and racial profiling, environmental justice movements often call for increased, open, and participatory data in order to document environmental racism and inequality. The EDJ Working Group recognizes the many conflicting justice concerns that data manifests and aims to bring together research communities to struggle together across these differences with a commitment to intersectional justice.

The EDJ Working Group is interested in documenting and analyzing all forms of environmental harms, including, corporate and government practices of manipulating and withholding data, as well as government failures to adequately collect and use data. We also aspire to move beyond theories of change based primarily on proving environmental harms to communities, lands, and bodies. Instead, our goal is to facilitate collaborative, action-based research that creates civic technologies, environmental data infrastructures, and equitable and transparent data care practices. To this end, our work includes critical assessments of existing models, infrastructures, and practices of data collection, storage, and dissemination, as well as projects that generate alternative kinds of knowledge, technologies, and imaginaries towards more just worlds. In these ways we hope to contribute to an open and public conversation between the growing data justice and environmental justice communities.

The EDJ Working Group hosted in February 2019 a public event, 'Environmental Data Justice: Vision and Values,' that brought together grassroots organizations, activists, academics, and students to share experiences and learn from one another. We are glad to share a summary and the recording of the online event on our blog.

This public event prompted us to develop an EDJ Syllabus 1.0 based in activist and academic work bridging across environmental justice and digital/data justice movements. We look forward to developing it collaboratively, with anybody who wants to contribute.

Building on this first online event and syllabus development, the EDJ Working Group hosted with GreenRoots' Environmental Chelsea Organizers ( ECO) an ' EJxYouth Summit ' on November 16th, 2019. The online event gathered a diverse range of speakers to share resources on youth organizing in environmental and social justice movements.

Past and Future EDJ Events

November 16th, 2019: EJx Youth SummitBuilding on the first public event, the EDJ Working Group and GreenRoots ' Environmental Chelsea Organizers ( ) are hosting a youth-led online event. The EJxYouth Summit livestreams a diverse range of speakers to share resources on youth organizing in environmental and social justice movements. Please join the discussion by registering for the event , or watch the livestream .

February 28th, 2019: Environmental Data Justice: Vision and ValuesThe EDJ Working Group hosted in February 2019 a first public event to start off a series of conversations at the intersection of Data Justice and Environmental Justice work. The online event brought together grassroots organizations, activists, academics, and students to share experiences and learn from one another. A summary of this collective discussion, as well as the recording of the event is available .

EDJ Resources

Read our initial thoughts to elaborate an EDJ framework, collected during a day-long event preceding the 2017 Annual Meeting of the Society for the Social Study of Science.

Read our seminal academic articles:

We welcome and are seeking collaborators interested in joining our work. Our current projects include:

Offering an EDJ Framework (read our initial thoughts from our day-long event preceding the 2017 Annual Meeting of the Society for the Social Study of Science)

Undertaking collective writing projects with and for public, policy and academic communities.

Critically analyzing present environmental databases

Building networks and relations with environmental and data justice activists and scholars

Making technologies and expanding practices of visualization, mapping, and archiving

Creating alternative visions of alternative environmental data justice practices

If you are interested in joining our work or learning more, please contact edj@envirodatagov.org.

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Environmental Data Justice – Environmental Data and Governance Initiative

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Our working group meets every Thursday from 2:30pm EST – 3:30pm EST […]

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Fairness, Accountability, and Transparency in Machine Learning

Bringing together a growing community of researchers and practitioners concerned with fairness, accountability, and transparency in machine learning

The past few years have seen growing recognition that machine learning raises novel challenges for ensuring non-discrimination, due process, and understandability in decision-making. In particular, policymakers, regulators, and advocates have expressed fears about the potentially discriminatory impact of machine learning, with many calling for further technical research into the dangers of inadvertently encoding bias into automated decisions.

At the same time, there is increasing alarm that the complexity of machine learning may reduce the justification for consequential decisions to "the algorithm made me do it."

The annual event provides researchers with a venue to explore how to characterize and address these issues with computationally rigorous methods.

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Fairness, Accountability, and Transparency in Machine Learning The past few years have seen growing recognition that machine learning raises novel challenges for ensuring non-discrimination, due process, and understandability in decision-making. In particular, policymakers, regulators, and advocates have expressed fears about the potentially discriminatory impact of machine learning, with many calling for further technical research into the dangers of inadvertently encoding bias into automated decisions.

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We are an interdisciplinary and globally distributed AI research institute.

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How should data technologies be governed on the global level? What kind of debate can we have across borders and cultures about datafication, and what kind of debate do we need? Data markets, apps, and technology firms are global, but the systems we have to control them are local. People worldwide are developing strategies to align the way datafication develops with their needs and protect themselves from its negative impacts.

The Global Data Justice project focuses on the diverse debates and processes occurring around data governance in different regions, to draw out overarching principles and needs that can push data technologies' governance in the direction of social justice.

The project is based at the Tilburg Institute for Law, Technology, and Society in the Netherlands, and has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant Agreement n° 757247). The ERC project is complemented by parallel contributions from Luminate to increase the policy impact of the research findings and the European AI Fund to investigate the technology sector during the pandemic.

Image credit: Tais Sirote Photography

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How should data technologies be governed on the global level? What kind of debate can we have across borders and cultures about datafication, and what kind of debate do we need? Data markets, apps, and technology firms are global, but the systems we have to control them are local.

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Advancing Indigenous Data Sovereignty and Governance

Asserting Indigenous Peoples rights and interests in data

Advocating for data for the self-determined wellbeing of Indigenous Peoples

Reinforcing the rights to engage in decision-making in accordance with Indigenous values and collective interests

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Advancing Indigenous Data Sovereignty and Governance Asserting Indigenous Peoples rights and interests in data Advocating for data for the self-determined wellbeing of Indigenous Peoples Reinforcing the rights to engage in decision-making in accordance with Indigenous values and collective interests

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We are a five-person team concerned about the ways our communities' digital information is collected, stored, and shared by government and corporations. Based in marginalized neighborhoods in Charlotte, North Carolina, Detroit, Michigan, and Los Angeles, California, we look at digital data collection and our human rights, work with local communities, community orginizations, and social support networks, and show how different data systems impact re-entry, fair housing, public assistance, and community development.

This work is made possible in part by a grant from Digital Trust Foundation.

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We are a five-person team concerned about the ways our communities' digital information is collected, stored, and shared by government and corporations. Based in marginalized neighborhoods in Charlotte, North Carolina, Detroit, Michigan, and Los Angeles, California, we look at digital data collection and our human rights, work with local communities, community orginizations, and social support networks, and show how different data systems impact re-entry, fair housing, public assistance, and community development.

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Understanding the real scale and scope and consequences of the environmental crisis depends on how digital technology influences our thinking about it in terms of scale and depth and short and long term consequences, as well as what solutions we can imagine to create and deploy against all this chaos. Text by Marek Tuszynski

Our educational tools and methodologies are accessible for use by diverse audiences
Our digital and media literacy resources, tools and interventions combine design and pedagogical methodologies into diverse and interactive formats such as tool-kits, guides, workshop curricula, and exhibition objects. They are adaptable, scalable, localisable and translatable, and their Creative Commons license makes them freely accessible to all. Our partners worldwide adopt and adapt them to reach the goals and needs of their communities.

Explore our resources →

We collaborate with partners across the world to create sustainable impact
We work with partners worldwide - organisations which are already embedded in and trusted by their communities, who understand the local realities and challenges, and who are engaged in the topics we work on. This approach supports long-term and sustainable impact and allows our projects to scale globally while responding effectively to local cultural and social dynamics.

Our partners also build the capacity of other organisations and individuals within their local networks, creating a multiplier effect which allows our educational initiatives to reach communities that couldn't be reached otherwise.

Explore our partners directory →

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20 years of collaboration and co-creation to shape our digital futures

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Twenty years ago, Tactical Tech was formed with the goal of enabling communities around the world to face the challenges and changes brought by new digital technologies. This year, we celebrate two decades of innovation and co-creation with our partners, collaborators and funders.

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Our Data, Our Sovereignty, Our Future

Our data, our sovereignty, our future. This vision drove the establishment of Te Mana Raraunga as the Māori Data Sovereignty Network. We advocate for Māori rights and interests in data to be protected as the world moves into an increasingly open data environment.

Data Sovereignty typically refers to the understanding that data is subject to the laws of the nation within which it is stored.

Indigenous Data Sovereignty perceives data as subject to the laws of the nation from which it is collected.

Māori Data Sovereignty recognises that Māori data should be subject to Māori governance.

Māori Data Sovereignty supports tribal sovereignty and the realisation of Maori and Iwi aspirations.

For information or advice

te.mana.raraunga@gmail.com

Maori Data Sovereignty Network on Twitter

RT @ thkukutai: Beautiful launch of this taonga by ⁦@ NgatiBird⁩ at ⁦TePapa, "90 years in the making" a/c to ⁦Ngahuia Te Awekotuku.... https://t.co/dAk1LfpEzy

RT @ bb_liliana: Second section is on "assembling data" with @ caelainnbarr Helen Verran @ thkukutai Maggie Walter @ majinxin... https://t.co/IWjJmXLwpy

RT @ kstsosie: "Data are not a gift. At best, they are 'on loan', and hence revocable if misused. Data are a responsibility not an... https://t.co/kMe4KYxbJw

RT @ IndigiDataLab: We just found out that @ 1NativeSoilNerd will be speaking on the @ nceas Advancing Ecology and Environmental Data Sci... https://t.co/nmgzKsUMoY

RT @ LICCIONetwork: How is Indigenous Data Sovereignty operationalised? Our intern Aditi Sharma refers to several specific initiatives... https://t.co/GNcIjuuLWn

RT @ MaoriDSov: Te Mana Raraunga calls for the Police to open the black box around facial recognition technologies. https://t.co/TXIr7sr7pk

RT @ MerrileeIAm: CARE Principles for Indigenous Data Governance: overview & Australian activities https://t.co/qqu7o6Jfxb Thank you... https://t.co/FLBcTEYtRE

NRC forum on responsible data with session on Indigenous Data Governance incl contributions from Jonathon Dewar... https://t.co/o73EzzY6nt

RT @ NativeBio: Now accepting applications for the IndigiData #Indigenous #Data #Science workshop! Our virtual workshop will take p... https://t.co/1bxLDtItFG

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Our Data, Our Sovereignty, Our Future Our data, our sovereignty, our future. This vision drove the establishment of Te Mana Raraunga as the Māori Data Sovereignty Network. We advocate for Māori rights and interests in data to be protected as the world moves into an increasingly open data environment.

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Mechanism Design for Social Good (MD4SG) is a multi-institutional initiative using techniques from algorithms, optimization, and mechanism design, along with insights from other disciplines, to improve access to opportunity for historically underserved and disadvantaged communities. MD4SG is a community of researchers, policy-makers, and practitioners in various government and non-government organizations, community organizations, and industry working to foster collaborations across disciplines and build research and practice pipelines.

We take an interdisciplinary approach to improve equity and social welfare for marginalized groups. We have worked in problems across a variety of domains such as education, development, fairness and discrimination, housing, healthcare, inequality, and labor markets. Our goal is to facilitate interactions across academia, policy, and industry and to foster collaborations across disciplines. To this end, we organize a monthly online colloquium series, domain-specific working groups, workshops and tutorials, and other activities aimed at exploring new research directions, implementing and deploying solutions, and highlighting exemplary work.

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Mechanism Design for Social Good (MD4SG) is a multi-institutional initiative using techniques from algorithms, optimization, and mechanism design, along with insights from other disciplines, to improve access to opportunity for historically underserved and disadvantaged communities.

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The Public Data Lab is an interdisciplinary network exploring what difference the digital makes in attending to public problems.

We develop materials and formats for collective inquiry with and about digital data, digital methods and digital infrastructures.

Here are some of our so far along with the contributed to them:

Groups and organisations we have worked with include: Amnesty International, BuzzFeed News, Camden Air Action, The Centre for Public Data, CIVICUS, DeSmog, European Forest Institute, European Journalism Centre, First Draft, Forest Bathing Institute, Gehl, Global Data Barometer, Global Partnership for Sustainable Development Data, Global Witness, The Guardian, The Latin American Open Data Initiative, Media Matters, Open Knowledge Foundation, NOS, Politico Europe, Possible, Surrey Wildlife Trust, Tax Justice Network, UN Foundation and ZKM.

Our approach is characterised by an interest in:

Intervention around social, political, economic and ecological issues;
(attending to how these are materialised and manifested)

Participation through involving different publics in the co-design of our work;
(attending to the means through which involvement is organised)

Artisanship in advancing the craft of assembling digital data, methods and infrastructures to produce different kinds of works, stories and experiences;
(exploring how social and cultural research may inform critical and inventive re-configurations)

Openness in sharing research, data and code for all to use;
(attending to the social lives of such materials as they are repurposed in different settings)

Our work is grounded in social and cultural research with and about the digital, including from science and technology studies, new media studies, internet studies, platform studies, infrastructure studies, data studies, algorithm studies and associated fields.

We assemble through our projects, events and activities. If you are interested in collaborating, you are welcome to get in touch.

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The Public Data Lab is an interdisciplinary network exploring what difference the digital makes in attending to public problems. We develop materials and formats for collective inquiry with and about digital data, digital methods and digital infrastructures.

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London School of Economics and Political Science

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London School of Economics and Political Science

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The Justice, Equity and Technology Project explores the impact of new technologies on social justice issues