What the FAccT? First law, bad law

In this episode, we speak with Lara Groves and Jacob Metcalf  at the seventh annual FAccT conference in Rio de Janeiro. In part four of our FAccT deep dive, Alix joins Lara Groves and Jacob Metcalf  to discuss their paper “ Auditing Work: Exploring the New York City algorithmic bias audit regime”. Lara Groves is a Senior Researcher at the Ada Lovelace Institute. Her most recent project explored the role of third-party auditing regimes in AI governance. Lara has previously led research on the role of public participation in commercial AI labs, and on algorithmic impact assessments. Her research interests include practical and participatory approaches to algorithmic accountability and innovative policy solutions to challenges of governance. Before joining Ada, Lara worked as a tech and internet policy consultant, and has experience in research, public affairs and campaigns for think-tanks, political parties and advocacy groups. Lara has an MSc in Democracy from UCL. Jacob Metcalf, PhD, is a researcher at Data & Society, where he leads the AI on the Ground Initiative, and works on an NSF-funded multisite project, Pervasive Data Ethics for Computational Research (PERVADE). For this project, he studies how data ethics practices are emerging in environments that have not previously grappled with research ethics, such as industry, IRBs, and civil society organizations. His recent work has focused on the new organizational roles that have developed around AI ethics in tech companies. Jake’s consulting firm, Ethical Resolve, provides a range of ethics services, helping clients to make well-informed, consistent, actionable, and timely business decisions that reflect their values. He also serves as the Ethics Subgroup Chair for the IEEE P7000 Standard. This episode is hosted by Alix Dunn. Our guests are Lara Groves and Jacob Metcalf. Further Reading Lara Groves (Ada Lovelace Institute, UK), Jacob Metcalf (Data & Society Research Institute, USA), Alayna Kennedy (Independent researcher, USA), Briana Vecchione (Data & Society Research Institute, USA) and Andrew Strait (Ada Lovelace Institute, UK)- Auditing Work: Exploring the New York City algorithmic bias audit regime
In this episode, we speak with Lara Groves and Jacob Metcalf  at the seventh annual FAccT conference in Rio de Janeiro.
In part four of our FAccT deep dive, Alix joins Lara Groves and Jacob Metcalf  to discuss their paper “ Auditing Work: Exploring the New York City algorithmic bias audit regime”.
Lara Groves is a Senior Researcher at the Ada Lovelace Institute. Her most recent project explored the role of third-party auditing regimes in AI governance. Lara has previously led research on the role of public participation in commercial AI labs, and on algorithmic impact assessments. Her research interests include practical and participatory approaches to algorithmic accountability and innovative policy solutions to challenges of governance.
Before joining Ada, Lara worked as a tech and internet policy consultant, and has experience in research, public affairs and campaigns for think-tanks, political parties and advocacy groups. Lara has an MSc in Democracy from UCL.
Jacob Metcalf, PhD, is a researcher at Data & Society, where he leads the AI on the Ground Initiative, and works on an NSF-funded multisite project, Pervasive Data Ethics for Computational Research (PERVADE). For this project, he studies how data ethics practices are emerging in environments that have not previously grappled with research ethics, such as industry, IRBs, and civil society organizations. His recent work has focused on the new organizational roles that have developed around AI ethics in tech companies.
Jake’s consulting firm, Ethical Resolve, provides a range of ethics services, helping clients to make well-informed, consistent, actionable, and timely business decisions that reflect their values. He also serves as the Ethics Subgroup Chair for the IEEE P7000 Standard.
This episode is hosted by Alix Dunn. Our guests are Lara Groves and Jacob Metcalf.
Further Reading
What the FAccT? First law, bad law
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