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Develop and share best practices

Support research, discussions, identification, sharing, and recommendation of best practices in the research, development, testing, and fielding of AI technologies. Address such areas as fairness and inclusivity, explanation and transparency, security and privacy, values and ethics, collaboration between people and AI systems, interoperability of systems, and of the trustworthiness, reliability, containment, safety, and robustness of the technology.

2

Advance public understanding

Advance wider public understanding and awareness of AI by sharing insights into AI's core technologies, potential benefits - and costs. We will act as a trusted experts on AI for society and their leaders, and will work to increase public understanding of how AI is progressing.

3

Provide an open and inclusive platform for discussion & engagement

Create and support opportunities for AI researchers and key stakeholders, including people in technology, law, policy, government, civil liberties, and the greater public, to communicate directly and openly with each other about relevant issues to AI and its influences on people and society. Ensure that key stakeholders have the knowledge, resources, and overall capacity to participate fully.

4

Identify and foster aspirational efforts in AI for socially beneficial purposes

Seek out, support, celebrate, and highlight aspirational efforts in AI for socially benevolent applications. Identify areas of untapped opportunity, including promising technologies and applications not being explored by academia and industry R&D.

Our Work (Thematic Pillars)

Safety-Critical AI

Advances in AI have the potential to improve outcomes, enhance quality, and reduce costs in such safety-critical areas as healthcare and transportation. Effective and careful applications of pattern recognition, automated decision making, and robotic systems show promise for enhancing the quality of life and preventing thousands of needless deaths.

However, where AI tools are used to supplement or replace human decision-making, we must be sure that they are safe, trustworthy, and aligned with the ethics and preferences of people who are influenced by their actions.

We will pursue studies and best practices around the fielding of AI in safety-critical application areas.

Fair, Transparent, and Accountable AI

AI has the potential to provide societal value by recognizing patterns and drawing inferences from large amounts of data. Data can be harnessed to develop useful diagnostic systems and recommendation engines, and to support people in making breakthroughs in such areas as biomedicine, public health, safety, criminal justice, education, and sustainability.

While such results promise to provide real benefits, we need to be sensitive to the possibility that there are hidden assumptions and biases in data, and therefore in the systems built from that data - in addition to a wide range of other system choices which can be impacted by biases, assumptions, and limits. This can lead to actions and recommendations that replicate those biases, and have serious blind spots.

Researchers, officials, and the public should be sensitive to these possibilities and we should seek to develop methods that detect and correct those errors and biases, not replicate them. We also need to work to develop systems that can explain the rationale for inferences.

We will pursue opportunities to develop best practices around the development and fielding of fair, explainable, and accountable AI systems.

The Partnership on AI (PAI) is a multistakeholder organization that brings together academics, researchers, civil society organizations, companies building and utilizing AI technology, and and other groups working to better understand AI's impacts. The Partnership was established to study and formulate best practices on AI technologies, to advance the public's understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.

The Partnership was formally established in late 2016, led by a group of AI researchers representing six of the world's largest technology companies: Apple, Amazon, DeepMind and Google, Facebook, IBM, and Microsoft. In 2017 the addition of six not-for-profit Board members expanded the Partnership into a multi-stakeholder organization - which now represents a community of 50+ member organizations. Read the letter from our Founding Co-Chairs here.

The Partnership is led by Founding Executive Director Terah Lyons, who formerly served as Policy Advisor to the U.S. Chief Technology Officer in the White House Office of Science and Technology Policy (OSTP). Terah and her team report to an Board of Directors comprised of six representatives of for-profit institutions and six Directors from not-for-profit perspectives and institutions.

The goals of the Partnership are four-fold:

First, to develop and share best-practice methods and approaches in the research, development, testing, and fielding of AI technologies;

Second, to advance public understanding of AI across varied constituencies, including on core technologies, potential benefits, and costs;

Third, to provide an open and inclusive platform for discussion and engagement on the future of AI, and to ensure that key stakeholders have the knowledge, resources, and overall capacity to participate fully in these important conversations; and

Fourth, to identify and foster aspirational efforts in AI for socially benevolent applications.

Our Partner community contributes deeply to shaping and achieving these objectives.

PAI is not a lobbying organization. We do, however, intend to be a resource to policymakers when relevant and possible - for instance, in conducting research that informs AI best practices and exploring the societal consequences of certain AI systems, as well as policies around the development and use of AI systems.

The Partnership on AI (PAI) is a multistakeholder organization that brings together academics, researchers, civil society organizations, companies building and utilizing AI technology, and and other groups working to better understand AI's impacts. The Partnership was established to study and formulate best practices on AI technologies, to advance the public's understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.

The Partnership was formally established in late 2016, led by a group of AI researchers representing six of the world's largest technology companies: Apple, Amazon, DeepMind and Google, Facebook, IBM, and Microsoft. In 2017 the addition of six not-for-profit Board members expanded the Partnership into a multi-stakeholder organization - which now represents a community of 50+ member organizations. Read the letter from our Founding Co-Chairs here.

The Partnership is led by Founding Executive Director Terah Lyons, who formerly served as Policy Advisor to the U.S. Chief Technology Officer in the White House Office of Science and Technology Policy (OSTP). Terah and her team report to an Board of Directors comprised of six representatives of for-profit institutions and six Directors from not-for-profit perspectives and institutions.

The goals of the Partnership are four-fold:

First, to develop and share best-practice methods and approaches in the research, development, testing, and fielding of AI technologies;

Second, to advance public understanding of AI across varied constituencies, including on core technologies, potential benefits, and costs;

Third, to provide an open and inclusive platform for discussion and engagement on the future of AI, and to ensure that key stakeholders have the knowledge, resources, and overall capacity to participate fully in these important conversations; and

Fourth, to identify and foster aspirational efforts in AI for socially benevolent applications.

Our Partner community contributes deeply to shaping and achieving these objectives.

PAI is not a lobbying organization. We do, however, intend to be a resource to policymakers when relevant and possible - for instance, in conducting research that informs AI best practices and exploring the societal consequences of certain AI systems, as well as policies around the development and use of AI systems.

The activities of the Partnership on AI are funded by charitable contributions in the form of membership dues paid by its for-profit Partners and contributions and grants from non-profit organizations and foundations.

Artificial intelligence technologies hold significant promise for raising the quality of people's lives across the world. However, with technological development comes new concerns and challenges associated with the responsible development and the effects of AI, including the safety and trustworthiness of AI technologies, the fairness and transparency of systems, and the intentional as well as inadvertent influences of AI on people and society.

Our thematic pillars illustrate a set of issues where PAI sees some of the greatest risks and opportunities for AI. A central goal of PAI, building upon the issues enumerated in these pillars, is to ensure that the benefits of AI are distributed as broadly as possible, and that the challenges associated with AI are understood and addressed.

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1 Develop and share best practices Support research, discussions, identification, sharing, and recommendation of best practices in the research, development, testing, and fielding of AI technologies. Address such areas as fairness and inclusivity, explanation and transparency, security and privacy, values and ethics, collaboration between people and AI systems, interoperability of systems, and of the trustworthiness, reliability, containment, safety, and robustness of the technology.

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To what extent could AI be used in schools? "AI will augment human tasks, but not replace them" - the question we need to ask is how can AI and humans work collaboratively 

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To what extent could AI be used in schools? "AI will augment human tasks, but not replace them" - the question we need to ask is how can AI and humans work collaboratively 

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Facial recognition and blockchain for attendance

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Facial recognition and blockchain for attendance

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https://www.technologyreview.com/s/610806/inside-the-jordan-refugee-camp-that-runs-on-blockchain/

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Parent value due to moral aspect aroundAI - "some tasks require uniquely human attributes, such as human intuition" 

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Parent value due to moral aspect aroundAI - "some tasks require uniquely human attributes, such as human intuition" 

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We need to understand AI reliability in doing the job it is made for - "a computer doing automatic translation has no idea about what it is actually doing". 

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We need to understand AI reliability in doing the job it is made for - "a computer doing automatic translation has no idea about what it is actually doing". 

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"Chatbots and intelligent assistants could very well change the course of school communication, just as they’re doing so in retail and business."

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"Chatbots and intelligent assistants could very well change the course of school communication, just as they’re doing so in retail and business."

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“Artificial Intelligence is the study of how to make machines intelligent or capable of solving problems as well as people can. At its core, machine learning is a new way of creating those problem-solving systems. For decades, programmers manually coded computer programs to provide outputs when given a certain input.”
Read more at https://www.business2community.com/marketing/how-retailers-are-using-ai-to-power-their-marketing-communications-02083850

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Potential of AI to improve communication

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Potential of AI to improve communication

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https://www.campussuite.com/schools-are-next-to-tap-ai-and-chatbots-to-improve-engagement/

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https://techcrunch.com/2016/08/05/robots-will-cover-the-olympics-for-the-washington-post/?ncid=rss&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&sr_share=facebook