{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI: Voice or Victim?","title":"Bias in, Bias Out: What AI Gets Wrong with Women with Siri Swahari (CGI)","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/1e17726d\"></iframe>","width":"100%","height":180,"duration":2088,"description":"When a group of powerhouse women at the MIT AI-Powered Women Conference asked ChatGPT one simple question, “What do you think I look like?”  the results were… revealing. And not in a good way.\nIn this live episode from Boston, we sit down with Siri Swahari, Vice President & Partner at CGI, to unpack what happened that night, why AI keeps defaulting to the same stale stereotypes, and how leaders can push for systems that are actually fair, representative, and useful.\nSiri breaks down:\nThe viral moment when AI generated bald white dudes for women of color\nWhy the problem isn’t “men vs women”… it’s the data\nWhat organizations must fix before unleashing AI tools on their teams\nHow bias sneaks into models — even when intentions are good\nWhy representation, guardrails, and real stress-testing matter\nWhat leaders should ask before adopting any AI solution\nWhy she’s cautious about AI’s pace — but still optimistic\nAnd her work building The Women Executive Circle, a growing cross-state community supporting senior women leaders\nIf you work in HR, ops, tech, policy, or anywhere AI touches people — this episode will hit home.\nCTA\n👉 Watch the full episode on YouTube: https://youtu.be/4D78uhi-rw0","thumbnail_url":"https://img.transistorcdn.com/2uNrlH0794qxIFZGO92VBpWplf9qvS0tjCj6Jc5TJTk/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTcw/OTA5N2Q1OGNkMWNl/ZmRlM2ViYzYxMzIw/OTA2ZC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}