War is a Laboratory for AI with Paul Scharre

Your Undivided Attention

Center for Humane Technology

Tristan Harris, Socialjustice, Tech Podcast, Character Ai, Little Tech, Ai History, Silicon Valley, Privacy, Daniel Barcay, Addiction, Ai Addiction, Chat Bots, Children And Tech, Tech Policy, Responsibleai, Tech, New Ai Shows, Screen Time, Open Ai, Elections, Kids Tech, Google, Ai And Kids, Politicsandai, Politics, Anthropic, Dataprivacy, Humans, Tech And Relationships, Us Politics, Ai And Relationships, Aiandhumanrights, Civictech, Aiinsociety, Surveillance, Sam Altman, Technopoly, Humancenteredai, Breakdown Of Trust, Ai And Work, Ai And The Future, Democracy, Futureofwork, Tech Politics, Tech Ethics, Future, Tech Addiction, Asi, Kids Phone Addiction, Best Ai Shows, Ai Regulations, Meta, Digitalgovernance, Bigtech, Ai And Happiness, Machinelearning, Screentime, Relationships, Ai Welfare, Ai Podcast, Cognitive Liberty, Infinite Scroll, Ai And Education, Kids And Ai, Ai Politics, Apple, Digitaldemocracy, Claude, Llms, Societalimpact, Artificial General Intelligence, Agi, Machines, Us Society, Politicaltechnology, Disinformation, Ai And Rights, Elon Musk, Government, Aiaccountability, Polarization, Jon Haidt, Algorithmicbias, Ai Personhood, Kids Online Safety, Superintelligence, Techandsociety, Automation, Design Ethics, News, Time Well Spent, Tech News, Society & Culture, Humane Design, Technology, Cht, Artificial Intelligence, Center For Humane Technology, The Social Dilemma Netflix, Philosophy, Human Downgrading, Aza Raskin, Attention Economy, Ethical Technology

4.8 • 1.5K Ratings

🗓️ 23 May 2024

⏱️ 59 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

Today’s battlefields have become laboratories for the use of AI weaponry and drones. From Ukraine to Gaza, weapons systems with increasing levels of autonomy are being used to kill people and destroy infrastructure. So what does this mean for the future of warfare? Author and former Pentagon policymaker Paul Scharre joins the show to discuss.

Transcript

Click on a timestamp to play from that location

0:00.0	Hey everyone, it's Tristan, and this is Daniel.
0:07.0	On September 26, 1983, Lieutenant Colonel Stanislav Petrov was in charge of the USSR's Nuclear Strike Detection Command Center.
0:16.4	And this was at the height of the Cold War,
0:18.1	where the tensions between the Soviet Union and the US were running high.
0:21.4	Just a few weeks earlier, the Soviets had shot down a South Korean
0:24.1	passenger jet that had straight into its airspace. And then one day in
0:28.1	September, the computers and Petrov's bunker went on high alert. Five
0:32.4	intercontinental ballistic missiles were headed straight
0:34.7	towards targets in the Soviet Union.
0:39.1	The official procedure was clear. At the first indication of a U.S. nuclear strike, the U.S nuclear strike, the USSR would launch a counter-strike
0:45.2	on US cities. The computers were unequivocal. The missiles were coming. But Petrov waited. He didn't inform his superiors.
0:54.0	He knew tensions were high between the two countries,
0:56.0	but it just didn't make sense to him that the U.S. would strike in that particular way.
1:01.0	So he waited.
1:02.0	The missiles didn't arrive. in that a particular way. So he waited.
1:03.2	The missiles didn't arrive.
1:05.0	And when the incident was investigated,
1:06.6	the Soviets discovered that a rare alignment of sunlight
1:09.6	on high-altitude clouds and the satellites
1:11.8	had triggered a false alarm.
1:14.0	Petrov's hesitance saved the world from nuclear war.
1:18.1	But would an AI-based system have made the same call? Right now, militaries around the globe are investing heavily in the use of
	...

Please login to see the full transcript.

Previous episode | Next episode

Disclaimer: The podcast and artwork embedded on this page are from Center for Humane Technology, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Center for Humane Technology and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.