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Since everyone is sharing April Fools’ Day jokes on social media, many including AI-generated images, it reminded me that we’ve hit a believability inflection point. AI image generation is so good we don’t believe real things anymore.
I just talked today with Scot Weisman of LaunchPad Lab about generative AI risks ("AI for Business: Legal Risks Every Executive Should Know"). I mentioned a concept that I frequently discuss of the main risks to focus on with generative AI. Many different problems tie back to three core risks: hallucination, prompt injection, and sycophancy. I could give you plenty of examples of each one—if you scroll to the bottom you'll see related stories with examples—but I want to focus in this post on the overall framework to understand the risks conceptually.
I made a game to help attorneys understand the situation of the attorney in Kosel Equity v. MacGregor, a recent Connecticut case: using other tools for research, then generative AI for writing assistance, and how it may be difficult to spot when “AI…intuitively [makes] changes to the brief.” This is an interactive demonstration of the unexpected risks of asking generative AI to "clean up" a legal draft.
