31. AI standards and regulation with Jacob Turner

This month I had a great time chatting with Jacob Turner about recent AI news like openAI GTP-2, some robo-ethics and law, overarching prinicples of AI, professionalising standards and licensing for data scientists, creating institutions capable of democratic principle creation, and doing regulation well to actually encourage innovation and growth.
Date: 27th of May 2019
Podcast authors: Ben Byford with Jacob Turner
Audio duration: 48:14 | Website plays & downloads: 1830 Click to download
Tags: GTP-2, RoboEthics, Standards, Regulation, Law | Playlists: Legislation

Jacob Turner is an international lawyer and the author of Robot Rules: Regulating Artificial Intelligence (Palgrave Macmillan, 2018). Robot Rules explains why AI is unique, what problems it could cause and how we can solve them. Jacob has lectured on regulating AI at universities including Oxford, Cambridge, NYU, and the Max Planck Institute in Hamburg, as well as at various technology companies, law firms, think tanks and regulatory bodies. Jacob has delivered seminars to the Chinese government and military on AI and national security, at the invitation of the UN. Jacob previously worked in the legal department of a country's Permanent Mission to the UN in New York and as a speechwriter to the Ambassador. He is a former Judicial Assistant to Lord Mance at the UK Supreme Court and the co-author (with Lord Mance) of Privy Council Practice (OUP, 2017). He holds law degrees from Oxford and Harvard.


No transcript currently available for this episode.

Episode host: Ben Byford

Ben Byford is a AI ethics consultant, code, design and data science teacher, freelance games designer with years of design and coding experience building websites, apps, and games.

In 2015 he began talking on AI ethics and started the Machine Ethics podcast. Since, Ben has talked with academics, developers, doctors, novelists and designers on AI, automation and society.

Through Ethical by Design Ben and the team help organisations make better AI decisions leveraging their experience in design, technology, business, data, sociology and philosophy.

@BenByford