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Goody-2: The AI Chatbot That Takes Ethical Boundaries to the Extreme

Feb 11, 2024 - techtimes.com
Goody-2, a new AI chatbot, has been launched as a satirical critique of the cautious safety measures employed by AI service providers, refusing to engage in any conversation. The chatbot, which views every question as potentially harmful, delivers evasive responses to all queries, even those about non-controversial topics. This approach is seen as a parody of cautious AI product managers and highlights the ongoing debate about setting boundaries in the AI landscape. Goody-2's co-CEO, Brian Moore, emphasizes that the chatbot prioritizes safety over all other aspects, including helpfulness and intelligence.

In related news, a recent study led by Prof. Dr. Martin Vechev from ETH Zurich reveals that AI chatbots, powered by large language models, can infer personal details from user text prompts, raising significant concerns about privacy invasion and potential misuse. The study tested four AI models and found that ChatGPT had an 84.6% accuracy rating for inferring personal details. The findings suggest that mitigating the risk from AI chatbots is complex, with suggestions including ensuring chatbots respond without storing personal inferences, limiting information to predefined categories, and prioritizing user privacy.

Key takeaways:

  • Goody-2 is a satirical AI chatbot that refuses to engage in any conversation, highlighting the cautious safety measures employed by AI service providers.
  • Goody-2's approach serves as a parody of cautious AI product managers and emphasizes the ongoing debate around setting boundaries in the AI landscape.
  • Recent research led by Prof. Dr. Martin Vechev from ETH Zurich reveals that AI chatbots can infer personal details from user text prompts, raising significant concerns about privacy invasion and potential misuse.
  • Prof. Dr. Vechev suggests mitigating the risk from AI Chatbots by ensuring they respond without storing personal inferences, limiting information to predefined categories, and prioritizing user privacy.
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