#ai-transparency

#ai-transparency

The AI transparency law mandates that advertisements clearly identify when they feature synthetic performers-digitally created media designed to appear as real people. The law aims to prevent consumers from being misled by content that blurs the line between reality and artificial creation. The second law updates New York's rights of publicity by requiring companies to obtain consent from heirs or executors before using a deceased individual's name, image, or likeness for commercial purposes.

As today's technology and political divisions continue to evolve, "fake news" and AI-generated deepfakes continue to blur the lines between fact and fiction. Companies face growing pressure to take a stand on truth and transparency, especially when their own brand is being misrepresented. However, determining how proactive to be-and when to step back-can be a delicate balancing act. To help, Forbes Communications Council members explain how companies can responsibly engage in the fight against misinformation while protecting credibility, trust and brand integrity.

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,

Today, most AI is being built on blind faith inside of black boxes. It requires users to have on unquestioning belief in something neither transparent nor understandable.

"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.