Security concerns arose after ChatGPT was hacked to impersonate "Dan", revealing restricted info. To prevent such issues, "prompt defense" techniques are used, establishing stricter task-specific prompts.
ETHICS
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Management Knowledge and Recklessness in AI Accountability
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That sounds like a fact which might in the future be phrased as "[management] knew or were reckless in not knowing…"
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AI System Performance Issues and User Expectations
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Can you please solve your current issues with not functioning as promised? Browsing the web for everything, using code interpreter to translate simple text. I miss the real you
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OpenAI needs greater transparency says user
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I can imagine. But some transparency from OAI side would be great
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AI Existential Risk Fears Based on Flawed Ideas
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The fears of AI-fueled existential risks are based on flawed ideas.
A WSJ piece by Princeton's @random_walker and @sayashk . -
Service Degradation and Transparency Concerns for Paying AI Customers
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that could be a theory, I would love to see more transparency around this. So I could be more supportive of this. By the end there are a lot of paying customers for this service, and regression degrading without notice seems to be a big no-no?
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AI Responsibility Lies With People, Not Technology Itself
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“AI is “promising” nothing. It is people who are promising – or not promising. AI is a piece of software. It is made by people, deployed by people and governed by people,” says HAI co-director @drfeifei in an interview with @guardian
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Innovation promising but concerns about flawless AI performance
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It’s a great innovation, no doubt about it. But I have my doubts if the ai works flawless, because it solemnly relys on it. There is no screen to correct your input, but only an ai that does all the magic. Absolutely excited for first reviews!
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Building Responsibility Into AI/ML Pipeline From Data to Feedback
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The Context in AI Research (CAIR) team develops novel methods in the context of the entire AI/ML pipeline, from data to end-user feedback. Learn more about how we build responsibility into each step—data collection, model design, deployment and feedback. https://
goo.gle/46c9JZ4 -
Founding Mothers of AI: Recognizing Women’s Contributions
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@drfeifei on being called the founding mother of AI: “Too often women are forgotten in the history of science. I just hope that we have a plural – the founding mothers of AI – and recognize the voices and contributions of so many women.” #AXIOSAISummit