How Should We Govern the Algorithm?

Civics 101

NHPR

Education, History, Supreme Court, American History, Elections, Democracy, Society & Culture, Government, Civics, Politics, Social Studies

4.6 • 2.4K Ratings

🗓️ 6 February 2024

⏱️ 47 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

How are algorithms deciding our fate and what is the country doing about it?

Transcript

Click on a timestamp to play from that location

0:00.0	Civics 101,
0:02.8	101, it's Hannah here.
0:04.0	It's Nick here.
0:05.0	And for now, at least, you are listening to our actual human voices,
0:10.0	and not the machine that learned how to sound like us for now.
0:15.0	Hannah, that's too scary.
0:18.0	Nick, we are one predictive algorithm from being out of a job my friend.
0:23.0	Well I'd like to see a machine engage in the kind of chaos I'm capable of McCarthy.
0:28.0	You think a machine could sing the score of the music man in a Scottish accent?
0:33.0	You might just see the day.
0:36.0	Oh, fate, my friend, taking any pool table ever hope to compete with a gold trombone.
0:40.0	All right, so today we are asking what the machines are up to and why that matters in America.
0:47.0	Artificial Intelligence is now everywhere from schools to work
0:56.6	but now the highest court in the land is suggesting it could play a role even in
1:00.6	our criminal justice.
1:01.6	Board of Police Commissioners is weighing in on the controversial facial recognition software at the center of a recent lawsuit.
1:07.0	A number of software programs used in hospitals across the country are powered by algorithms with racial biases.
1:14.8	England, Wales and Northern Ireland have all announced that A-Level and GCSE results
1:19.3	will now be based on teacher assessments rather than grades generated by computer modeling.
1:24.3	Employers are then using AI software to analyze candidates' facial expressions in their
1:29.7	recorded answers.
1:30.9	A candidate who looks off up into the distance might have a propensity to lie.
	...

Please login to see the full transcript.

Previous episode | Next episode

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

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