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Ira Ktena
Senior Researcher
Deep Mind
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Xin Wang
Machine Vision Manager
Shell
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Emmanuel Ferreyra Olivares
Principal Researcher
Fujitsu Research of Europe
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Detlef Nauck
Head of AI & Data Science Research
BT
Toju Duke
Program Manager - Responsible AI
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Huma Lodhi
Lead Machine Learning Engineer
Sky
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Siva Chamarti
Head of Machine Learning Engineering
Shell
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Michael Bronstein
Head of Graph Learning Research / DeepMind Professor of AI
Twitter / Oxford University
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Hastagiri Vanchinathan
Senior Director of AI
ShareChat
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Stephen O'Farrell
Machine Learning Scientist
Bumble
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Edward Johns
Director of the Robot Learning Lab / Head of Robot Learning
Imperial College London / Dyson
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Petros Ypsilantis
AI & Machine Learning Lead
JP Morgan
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Abdullahi Adamu
Senior Software Engineer
Sony
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Hongyu Li
Senior Data Scientist
Virgin Media o2
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.