Siliconsciousness: The Power of Applied AI Optimism

The DSR Network

Chris Cotnoir

Government

4.5 • 1.9K Ratings

🗓️ 10 April 2026

⏱️ 32 minutes

🔗️ Recording | iTunes | RSS

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Summary

AI should serve us, yet that’s not always the approach that experts take. There’s been a lot of talk about AI fueling economic displacement, but what about AI that’s a partner instead of a replacement for us? Dr. Angela Aristidou joins David Rothkopf to cut through the theoretical explore why real-world deployment of AI can improve workflow and augment human relationships rather than eliminating them. This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:31.4	That's code DSR 26 at the DSR network.com slash buy.
0:38.4	Thank you and enjoy the show.
0:44.3	Welcome to CILA Consciousness,
0:47.1	the DSR Network podcast focusing on the artificial intelligence revolution,
0:52.4	politics and policy.
1:07.5	Hello and welcome to the latest episode of DSR's Silla Consciousness.
1:12.9	I am David Rothkoff, your host, and this week as every week, we're going to be joined by an expert who can help us explore a different aspect of what's going on in
1:18.4	AI and related next-gen technologies. This week, we are extremely fortunate to be joined by
1:25.6	Angela Aristidu, who is a professor at University College London
1:29.9	and a faculty fellow at the Digital Economy Lab and the Stanford's Human Centered AI Institute.
1:38.0	She speaks, writes, and advises about something we're really interested in,
1:42.6	which is the real-life deployment of artificial
1:45.5	intelligence tools for the public good. Welcome, Angela. Thank you for joining us.
1:50.9	Thank you for having me, David.
1:54.0	So, you know, I became interested in your work. I read a piece that you wrote in an MIT
1:59.2	Technology Review. I then read it in a
2:01.8	couple of others, because you're dealing with what I consider to be an especially interesting
2:08.1	sort of gap in knowledge and understanding, which is sort of how we go from the theoretical frameworks we use for AI or the frameworks that are used by
	...

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