Michael Wrightson’s Post

💡 Ensuring female representation in AI decision-making is key to fostering innovation and fairness. With over 80% of UK businesses planning to leverage generative AI, diverse voices are vital for creating AI solutions that benefit all. Learn how we can drive change 👇 #AIInclusion #GenderEquality

👩💼 How crucial is it to have female AI decision-makers in UK businesses? A recent study from IBM reveals almost 40% of UK business leaders think getting women into decision-making positions is increasingly important in the era of artificial intelligence. Explore the impact and importance of diverse decision-making in AI initiatives here 👉 https://bit.ly/3Kxw4bo #diversityintech #ai #ukbusinesses #womenintech

💡 Ensuring female representation in AI decision-making is key to fostering innovation and fairness. With over 80% of UK businesses planning to leverage generative AI, diverse voices are vital for creating AI solutions that benefit all. Learn how we can drive change 👇 #AIInclusion #GenderEquality

💡 Ensuring female representation in AI decision-making is key to fostering innovation and fairness. With over 80% of UK businesses planning to leverage generative AI, diverse voices are vital for creating AI solutions that benefit all. Learn how we can drive change 👇 #AIInclusion #GenderEquality

In order to prevent bias in AI development, more leaders need to be female. In this article, tech giant IBM shares their suggestions for increasing the number of female AI leaders: https://hubs.la/Q02DGp_G0 #AI #WomenInTech

Meet the game-changing women in AI who are taking the US tech industry by storm 💥👩💻 Read full article - https://lnkd.in/gTkChXvq #WomenInTech #AI #TechRevolution #Tech #ai

In a study by the World Economic Forum, the co-authors find that women only hold 26% of analytics-related and #AI positions. In fact, the gender gap in AI is widening, not narrowing. Homogeneous teams risk bias. When the people building AI systems don't reflect real-world diversity, products will serve some groups far better than others. Despite the many ways in which women have advanced AI tech, they make up a tiny sliver of the global AI workforce. More women shaping AI will accelerate innovation and lead to a more equitable future. TechCrunch https://lnkd.in/gDd8cAAm

AI trailblazing women making an impact. https://shorturl.at/sTUY7 Aiming to recognize AI-focused women academics and professionals through interviews. Highlighted Figures: - Irene Solaiman: Head of global policy at Hugging Face. - Eva Maydell: European Parliament member and EU AI Act advisor. - Lee Tiedrich: AI expert at the Global Partnership on AI. Gender Gap Awareness: - New York Times criticized for overlooking women in AI. - Only 16% of AI-focused tenure-track faculty are women (Stanford, 2021). - Women hold just 26% of analytics-related and AI positions (World Economic Forum, 2021). Reasons for Disparity: - Women more likely to consider societal, ethical, and political implications in their AI work. Impact of Gender Gap: - Women's unique perspectives in AI, focusing on societal, ethical, and political aspects, are undervalued. Call for Change: - Advocacy for strong mentorship, commitment, and leading by example in the AI field. - Encouraging organizations to enact policies for a more diverse and supportive AI industry. Long-term Change: - Acknowledgment that change takes time but emphasizes the importance of small steps for a revolution in the AI industry. #ai #womenimpact

Learn how to fix lack of representation in AI, here: https://cogniz.at/3AY5gQe #Diversity #Inclusion #AI

Happy Women's Day! Nothing is more encouraging than reading this report from IBV on "Women Leaders can forge the future of AI" on such a special day. It's interesting to notice that women ourselves not realize how much potential we have and should think differently about AI: how to make it work FOR us than TO us. #AI #womanintech