Welcome back to The FAIK Files!

In this week's episode:

• An Australian radio station created a fake Asian female host using AI
• The BBC resurrects Agatha Christie while a family member brings a murder victim to court
• We break down "Strategic Text Strings" - sequences of gibberish that can jailbreak AI systems
• AI recruitment tools might be making hiring worse, not better

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***** NOTES AND REFERENCES *****

Faking Diversity - AI Radio Host Controversy:

• Mediaweek article: https://www.mediaweek.com.au/backlash-over-arn-use-of-ai-radio-host-modelled-on-asian-woman/
• Original Blog Source: https://www.thecarpet.com.au/p/meet-thy-the-radio-host-i-dont-think
• Follow-Up with audio clips: https://www.thecarpet.com.au/p/radios-most-cynical-ai-experiment
• Mason's insights on radio industry cost-cutting and the vanishing of part-time jobs post-COVID

AI Resurrections:

• BBC resurrects Agatha Christie to teach writing: https://www.thetimes.com/culture/books/article/agatha-christie-ai-bbc-maestro-jeremy-vine-9t5nqvz69
• Family member resurrects murder victim to speak in court: https://www.404media.co/i-loved-that-ai-judge-moved-by-ai-generated-avatar-of-man-killed-in-road-rage-incident/

Strategic Text Strings & Jailbreaking AI:

• Previous episode on "AI SEO Optimization": https://www.youtube.com/watch?v=wm1yAfTjKzY
• Harvard Business School article: https://www.library.hbs.edu/working-knowledge/gen-ai-marketing-how-some-gibberish-code-can-give-products-an-edge
• Research paper: "Manipulating Large Language Models to Increase Product Visibility": https://arxiv.org/pdf/2404.07981
• Broken Hill: https://bishopfox.com/blog/brokenhill-attack-tool-largelanguagemodels-llm
• Broken Hill Github: https://github.com/BishopFox/BrokenHill
• Universal and Transferable Adversarial Attacks on Aligned Language Models: https://arxiv.org/pdf/2307.15043

AI Dumpster Fire of the Week - AI in Recruitment:

• 404 Media article on AI recruiter: https://www.404media.co/ai-recruiter-apriora-tiktok/
• Testing "AI Interviewers" with HeyGen (https://HeyGen.com/) and Tavus (https://www.tavus.io/)

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