Shaping policy for ethical innovation in AI | Alex Engler

[MaddieJ]

Alex Engler, Brookings Institution research fellow and data scientist, walks us through the present and future state of public policy regarding AI. We explore how policy, ethics and innovation interact, and what that means for data scientists' everyday work.

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Panelists

• Alex Engler - LinkedIn, Twitter, Brookings Institute Profile
• Susan Currie Sivek - @SusanCS, LinkedIn, Twitter

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Topics

• Stanford Cyber Policy Center EU Digital Services Act webinar recording  
• Summary of AI Provisions from the National Defense Authorization Act 2021 from the Stanford Institute for Human-Centered Artificial Intelligence 
• Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies report for the Administrative Conference of the United States
• Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
• Articles by Alex Engler: 
  • 6 developments that will define AI governance in 2021 
  • Tech cannot be governed without access to its data 
  • How the Biden administration should tackle AI oversight 
  • Platform data access is a lynchpin of the EU’s Digital Services Act 
  • Independent auditors are struggling to hold AI companies accountable 
    

Cocktail Conversation

Alex told us that he wasn't super excited about some of the things he had to learn early in his data science studies, at least not until he found ways he could apply what he learned to the issues he cared about and connected with a community of like-minded people.

What's kept you going in data science, even when the going was rough? What's inspired you to continue to learn in the face of challenges?

Join the conversation by commenting below!

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This episode of Data Science Mixer was produced by Susan Currie Sivek (@SusanCS) and Maddie Johannsen (@MaddieJ).
Special thanks to Ian Stonehouse for the theme music track, and @TaraM  for our album artwork.