What would you call an assistant who invented answers if they didn't know something? Most people would call them "Fired." Despite that, we don't mind when AI does it. We expect it to always have an answer, but we need AI that says, "I don't know." That helps you trust the results, use the tool more effectively and avoid wasting time on hallucinations or overconfident guesses.
Johnston is the founder and sole employee of The Midas Project: a nonprofit that monitors the practices of "leading AI companies to ensure transparency, privacy, and ethical standards are maintained." The Midas Project is behind The OpenAI Files, a 50-page report about OpenAI's evolution from under-the-radar nonprofit to moneymaking household name. It organized an open letter to OpenAI asking for transparency about its transition to a for-profit company, garnering more than 10,000 signatures. Now, apparently, OpenAI was striking back.
Its impact is most visible in media buying and optimisation, particularly on social channels. While the way AI makes decisions is game-changing, it is also where things start to get unclear. We are handing over a lot of control to the algorithms, yet there is still a major lack of transparency. She believes understanding what signals AI prioritises - and what biases it carries - will become one of the industry's most urgent conversations.
There will be lots of questions about how AI is actually changing the labor market. The lesson over and over again has been AI arrives, it becomes such a big deal, but it changes all of the industries it touches,
"If we let Google get away with breaking their word, it sends a signal to all other labs that safety promises aren't important and commitments to the public don't need to be kept."
Meta, Google, and OpenAI allegedly exploited undisclosed private testing on Chatbot Arena to secure top rankings, raising concerns about fairness and transparency in AI model benchmarking.