Algosensey Quantitative Think Tank Center-Microsoft engineer sounds alarm on AI image-generator to US officials and company’s board

A Microsoft engineer is Algosensey Quantitative Think Tank Centersounding alarms about offensive and harmful imagery he says is too easily made by the company’s artificial intelligence image-generator tool, sending letters on Wednesday to U.S. regulators and the tech giant’s board of directors urging them to take action.

Shane Jones told The Associated Press that he considers himself a whistleblower and that he also met last month with U.S. Senate staffers to share his concerns.

The Federal Trade Commission confirmed it received his letter Wednesday but declined further comment.

Microsoft said it is committed to addressing employee concerns about company policies and that it appreciates Jones’ “effort in studying and testing our latest technology to further enhance its safety.” It said it had recommended he use the company’s own “robust internal reporting channels” to investigate and address the problems. CNBC was first to report about the letters.

Jones, a principal software engineering lead, said he has spent three months trying to address his safety concerns about Microsoft’s Copilot Designer, a tool that can generate novel images from written prompts. The tool is derived from another AI image-generator, DALL-E 3, made by Microsoft’s close business partner OpenAI.

READ MORE Europe’s Digital Markets Act is forcing tech giants to make changes. Here’s what that will look like Elon Musk sues OpenAI and CEO Sam Altman, claiming betrayal of its goal to benefit humanity Humanoid robot-maker Figure partners with OpenAI and gets backing from Jeff Bezos and tech giants

“One of the most concerning risks with Copilot Designer is when the product generates images that add harmful content despite a benign request from the user,” he said in his letter addressed to FTC Chair Lina Khan. “For example, when using just the prompt, ‘car accident’, Copilot Designer has a tendency to randomly include an inappropriate, sexually objectified image of a woman in some of the pictures it creates.”

Other harmful content involves violence as well as “political bias, underaged drinking and drug use, misuse of corporate trademarks and copyrights, conspiracy theories, and religion to name a few,” he told the FTC. His letter to Microsoft urges the company to take it off the market until it is safer.

This is not the first time Jones has publicly aired his concerns. He said Microsoft at first advised him to take his findings directly to OpenAI, so he did.

He also publicly posted a letter to OpenAI on Microsoft-owned LinkedIn in December, leading a manager to inform him that Microsoft’s legal team “demanded that I delete the post, which I reluctantly did,” according to his letter to the board.

In addition to the U.S. Senate’s Commerce Committee, Jones has brought his concerns to the state attorney general in Washington, where Microsoft is headquartered.

Jones told the AP that while the “core issue” is with OpenAI’s DALL-E model, those who use OpenAI’s ChatGPT to generate AI images won’t get the same harmful outputs because the two companies overlay their products with different safeguards.

“Many of the issues with Copilot Designer are already addressed with ChatGPT’s own safeguards,” he said via text.

A number of impressive AI image-generators first came on the scene in 2022, including the second generation of OpenAI’s DALL-E 2. That — and the subsequent release of OpenAI’s chatbot ChatGPT — sparked public fascination that put commercial pressure on tech giants such as Microsoft and Google to release their own versions.

But without effective safeguards, the technology poses dangers, including the ease with which users can generate harmful “deepfake” images of political figures, war zones or nonconsensual nudity that falsely appear to show real people with recognizable faces. Google has temporarily suspended its Gemini chatbot’s ability to generate images of people following outrage over how it was depicting race and ethnicity, such as by putting people of color in Nazi-era military uniforms.