Polymathic

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Generative AI perpetuates biases

Generative AI models, such as Stable Diffusion, are amplifying gender and racial biases in their outputs, according to an investigation by Bloomberg. The report found that the model depicted women and people of colour as underrepresented in high-paying jobs and overrepresented in low-paying ones. The model was also found to be inaccurate in its portrayal of skin tones and gender, and to have amplified stereotypes of race and gender in its outputs. The report warns that the use of such models in policing and other areas could exacerbate existing biases in the criminal justice system.

original article: Humans Are Biased. Generative AI Is Even Worse


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About Me

Visionary leader driving digital transformation across higher education and Fortune 500 companies. Pioneered AI integration at Emory University, including GenAI and AI agents, while spearheading faculty information systems and student entrepreneurship initiatives. Led crisis management during pandemic, transitioning 200+ courses online and revitalizing continuing education through AI-driven improvements. Designed, built, and launched the Emory Center for Innovation. Combines Ph.D. in Philosophy with deep tech expertise to navigate ethical implications of emerging technologies. International experience includes DAAD fellowship in Germany. Proven track record in thought leadership, workforce development, and driving profitability in diverse sectors.

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