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Jess Lauritsen, The Lab - I recently implemented a culturally responsive customer service professional development for my entire student affairs division at a college where I served as VP of Student Affairs and I'm passionate about ensuring students are served in a way that meets their unique needs.

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Jess Lauritsen, The Lab - I recently implemented a culturally responsive customer service professional development for my entire student affairs division at a college where I served as VP of Student Affairs and I'm passionate about ensuring students are served in a way that meets their unique needs.

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Kelly Page, Aussie living in Colorado, work at Digital Promise on how we can center equity and inclusion in the development of technologies. My skills few know would be: "Painting and DIY"

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Kelly Page, Aussie living in Colorado, work at Digital Promise on how we can center equity and inclusion in the development of technologies. My skills few know would be: "Painting and DIY"

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CEO of Brighthive; friendly neighborhood data nerd.

Something I've learned but don't have credentials for: building racing drones and fly them around Chicago with silly goggles.

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Josh Weiss, Stanford GSE. Lovely to meet you all. I'm learning how to play combo organ. It's like a jazzy piano. Does a credential exist? I am doubtful, but would love to be surprised

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Josh Weiss, Stanford GSE. Lovely to meet you all. I'm learning how to play combo organ. It's like a jazzy piano. Does a credential exist? I am doubtful, but would love to be surprised

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I think there has been a lot of wonderful work especially recently about strategies to mitigate the KNOWN concerns about AI (or technology in general). What I am most concerned about is what we don't know yet.. What may begin as an innocent start (a way to connect friends) and result in an epidemic in mental health. Similarly, in this context, how can we map out all the different consequences and come up with a strategy to handle when things unintentionally go wrong?

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Renise Walker, Assistant Director of Systems Innovation at Colorado Workforce Development Council. I am developing the skill of travel content creation and am excited to better share opportunities to affordably travel domestically and internationally as a single Mom. 

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Renise Walker, Assistant Director of Systems Innovation at Colorado Workforce Development Council. I am developing the skill of travel content creation and am excited to better share opportunities to affordably travel domestically and internationally as a single Mom. 

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Milena Pribic, AI Design + Ethics lead at IBM, working on best practices for ethical AI design at IBM. Skills: throwing pots and reading a lot of surreal poetry

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Tom Hall w/IBM, I've been in technical leadership for quite a while but relatively new to the AI world and I'm really enjoying strengthening my AI foundation and certainly see the essential nature of building trustworthy, ethical and transparent AI. I'm excited about this initiative, I look forward to learning lots and hopefully being a benefit... maybe more from a layman's view :-)

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Tom Hall w/IBM, I've been in technical leadership for quite a while but relatively new to the AI world and I'm really enjoying strengthening my AI foundation and certainly see the essential nature of building trustworthy, ethical and transparent AI. I'm excited about this initiative, I look forward to learning lots and hopefully being a benefit... maybe more from a layman's view :-)

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In my free time I work with the underserved communities in India and Africa imparting digital and STEM skills - which also includes introduction to AI and the ethical implications in various sectors and how to be vigilant about it. It give some intrinsic pleasure when I see my students show even the slightest bit of progress.

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In my free time I work with the underserved communities in India and Africa imparting digital and STEM skills - which also includes introduction to AI and the ethical implications in various sectors and how to be vigilant about it. It give some intrinsic pleasure when I see my students show even the slightest bit of progress.

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Working in tandem with private and public sector entities to improve workforce dev, make it more inclusive so that marginalized groups gain equity; thus improving the overall economy.

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Carol Erickson, Director of Foundation Partnerships at Education Design Lab.

I've been gardening since I was in elementary school.  Growing flowers and vegetables from seed, and cultivating them in ridiculously large gardens

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Applied Cognition & Neuroscience - HCI & Computational Modeling, Graduate Student

I took up racquetball after playing tennis and being obsessed with racket sports in high school and it has been a wonderful way to make friends and get a good (fun) workout in!

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Something I'm still learning that gives me joy is the love of sports - soccer. I'm a big fan of English Premier League. And I happen to have a podcast! Colney Talk Podcast.

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What's are the biggest pain points about the current present-state of hiring/skill sharing?

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I feel there are so many dependent "legs" to this stool in order to make this skills-based transition happen -- and all of them have to make critical changes for the stool not to collapse.

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How will we be vigilant in ensuring the data points and algorithms behind the models are not biased

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How do we work on shifting the mindset of the individuals to advocate for their skills?

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How do we work on shifting the mindset of the individuals to advocate for their skills?

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How are we flexible with defining skills/understanding of how different skills are weighted and why?

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There is clear research that the internet is fed information from/based on implicit bias.

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In terms of using this as a "potential currency" as Jason mentioned, what is the perceived buy-in from institutions? And are we creating another layer of limitation for access for under-representation?

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All groups of populations are able to use the tools in the optimal way for themselves

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transparency in terms of which data sets/labels are being used and how/if you're "grouped" somewhere accordingly

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There is accountability for harm or misuse

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There is accountability for harm or misuse

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This is a newer concept that provides additional context WITH the data and allows policies to travel with the data

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Skills mapping - visual representations of skills

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By examining the language, as you mentioned earlier about credentialing, etc. More agencies are removing college degrees from job requirements.

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Considerations beyond algorithmic performance are part of the design intent around and choice by users of AI systems

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Considerations beyond algorithmic performance are part of the design intent around and choice by users of AI systems

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de-coupling terminology from bias. might require a deep think on naming conventions and the containers these fit into. right-sizing for a granularity that is bias-agnostic is also an interesting angle perhaps

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de-coupling terminology from bias. might require a deep think on naming conventions and the containers these fit into. right-sizing for a granularity that is bias-agnostic is also an interesting angle perhaps

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Validation that what is created, produced and disseminated is true

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Validation that what is created, produced and disseminated is true

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Dream2Career khoulihan@dream2career.org

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the design of artificial intelligence that takes into account areas of explainability, fairness, robustness, transparency, privacy so human beings can flourish

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How do we ensure that AI algorithms are  not treating similarly-skilled people differently based on demographics and geographic location.

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How do we ensure that AI algorithms are  not treating similarly-skilled people differently based on demographics and geographic location.

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designing AI that empowers people

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AI ethics should be a set of guiding principles that advise us on the design and outcomes of algorithms in a transparent way.

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AI ethics should be a set of guiding principles that advise us on the design and outcomes of algorithms in a transparent way.

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Ethics AI is a foundation of equitable principle use of Data & AI. And the guiding arm to keep humanity in the fore front of technology, automation at scale whilst exploring AI research & its possibilities.

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Guidelines around: empowering those looking for work/sharing their skills, user privacy guidelines (such as opt out options or an active role in skills inference), transparency/explainability of the technology, bias mitigation

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There's a saying that over-convenience with technology is one downfall of humanity. As much as we welcome and push boundaries with AI, there is a line, a wall or laws that should be established to maintain responsible use of AI. To me responsible use is ensuring AI should never be thought of as human replacement - a blanket statement. Also if we remember we(humans) are guardians of data, then we have the control of how AI should serves us; albeit constant guardrails.

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how do we give people more of a voice than they currently have? and how do we define the "voice" of a job-hunter (who is also the data subject)?

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You would know after evaluating the AI product/Implementation MVP augments the users working experience and productivity.

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Guidelines arounds deeper AI explainability, data audits, user access, inclusion and ease of use.

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I see it as an 'explainable AI' landscape where data privacy is the key and accountability clearly defined for any potential harm resulting from the use of the technology. 

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I see it as an 'explainable AI' landscape where data privacy is the key and accountability clearly defined for any potential harm resulting from the use of the technology. 

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Is there a way job seekers can be made aware of their rights - provided it is clearly defined by law - where they can challenge the potential bias of the algorithm. Who is legally accountable for biased algorithms that may be inadvertently or explicitly causing financial and emotion harm? 

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Is there a way job seekers can be made aware of their rights - provided it is clearly defined by law - where they can challenge the potential bias of the algorithm. Who is legally accountable for biased algorithms that may be inadvertently or explicitly causing financial and emotion harm? 

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One way may be to gauge the transparency regarding the data used and interpret how the data-points that were used by the algorithm contributed to the outcomes achieved....What was the purpose of the learning, and can we ensure that the technology is not solely drive for profit motives? Not all AI powered tools out there are ChatGPTs.....

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One way may be to gauge the transparency regarding the data used and interpret how the data-points that were used by the algorithm contributed to the outcomes achieved....What was the purpose of the learning, and can we ensure that the technology is not solely drive for profit motives? Not all AI powered tools out there are ChatGPTs.....

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The alignment problem and unfair competition that it can generate

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The alignment problem and unfair competition that it can generate

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One thing to consider is that is the data generated by one user being also inadvertently revealing data for other users within the network - without consent...what is the ethical way to control the data leaks? 

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One thing to consider is that is the data generated by one user being also inadvertently revealing data for other users within the network - without consent...what is the ethical way to control the data leaks? 