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Description

When it's hard (and sometimes impossible) to detect AI-generated content, what role to engineers have in using LLMs ethically? Abi and Ariel discuss current laws surrounding AI and legal actions taken against individuals and businesses whose AI systems produce bias or defamation. They also cover IBM's and Microsoft’s stances on what constitutes responsible AI, as Ariel prepares for her hackathon where responsible AI is a judging criterion.

References:

https://www.judiciary.senate.gov/imo/media/doc/2023-05-16%20-%20Testimony%20-%20Montgomery.pdf 

https://www.theguardian.com/technology/2024/dec/14/saferent-ai-tenant-screening-lawsuit

https://time.com/7012843/anil-kapoor/

https://www.bclplaw.com/en-US/events-insights-news/us-state-by-state-artificial-intelligence-legislation-snapshot.html

https://www.whitecase.com/insight-our-thinking/ai-watch-global-regulatory-tracker-united-states

AI Resources for Developers:

https://www.microsoft.com/en-us/haxtoolkit/playbook/ 

https://www.microsoft.com/en-us/ai/responsible-ai 

https://www.youtube.com/watch?v=xN06FGW8vvE