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Shrey Jain: Applied Scientist at Microsoft Research Special Projects

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Innhold levert av RadicalxChange Foundation. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av RadicalxChange Foundation eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Shrey Jain, an applied scientist at Microsoft Research Special Projects, speaks with Matt Prewitt on a very timely and topical subject: AI and – more specifically – the dangers it poses to the nature of natural human communication (“context collapse”). They take a deep dive into the current threats to privacy by expanding beyond the often discussed cryptographic sense into “privacy as contextual integrity”, and the immediate opportunity to embed ethical guardrails into this ever-changing realm of generative AI through possible solutions of designated verified signatures in “plural publics”.

Shrey’s recently published paper co-authored with Divya Siddarth and E. Glen Weyl “Plural Publics” is linked in the episode notes.
Links & References:

Bios:
Shrey Jain (he/him) is an Applied Scientist at Microsoft Research Special Projects. His research area is AI Security and Cryptography with a specific focus on information integrity in an era of generative AI. Shrey's work has been featured in CBC News, The Globe and Mail, Financial Times, National Post, CTV News, and the Toronto Star.
Shrey’s Social Links:
Twitter: @shreyjaineth
Connect with Shrey on LinkedIn
Shrey’s Substack: Glasswing
Matt Prewitt (he/him) is a lawyer, technologist, and writer. He is President of the RadicalxChange Foundation.

Matt’s Social LInks:
Twitter: @m_t_prewitt
Matt’s Substack: Matt's Writings
Connect with RadicalxChange:
Follow us on Twitter.
Visit our website.
Join the conversation on Discord.

Credits:

This is a RadicalxChange Production.

Connect with RadicalxChange Foundation:

Credits:

  continue reading

23 episoder

Artwork
iconDel
 
Manage episode 358875574 series 2856681
Innhold levert av RadicalxChange Foundation. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av RadicalxChange Foundation eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Shrey Jain, an applied scientist at Microsoft Research Special Projects, speaks with Matt Prewitt on a very timely and topical subject: AI and – more specifically – the dangers it poses to the nature of natural human communication (“context collapse”). They take a deep dive into the current threats to privacy by expanding beyond the often discussed cryptographic sense into “privacy as contextual integrity”, and the immediate opportunity to embed ethical guardrails into this ever-changing realm of generative AI through possible solutions of designated verified signatures in “plural publics”.

Shrey’s recently published paper co-authored with Divya Siddarth and E. Glen Weyl “Plural Publics” is linked in the episode notes.
Links & References:

Bios:
Shrey Jain (he/him) is an Applied Scientist at Microsoft Research Special Projects. His research area is AI Security and Cryptography with a specific focus on information integrity in an era of generative AI. Shrey's work has been featured in CBC News, The Globe and Mail, Financial Times, National Post, CTV News, and the Toronto Star.
Shrey’s Social Links:
Twitter: @shreyjaineth
Connect with Shrey on LinkedIn
Shrey’s Substack: Glasswing
Matt Prewitt (he/him) is a lawyer, technologist, and writer. He is President of the RadicalxChange Foundation.

Matt’s Social LInks:
Twitter: @m_t_prewitt
Matt’s Substack: Matt's Writings
Connect with RadicalxChange:
Follow us on Twitter.
Visit our website.
Join the conversation on Discord.

Credits:

This is a RadicalxChange Production.

Connect with RadicalxChange Foundation:

Credits:

  continue reading

23 episoder

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