Aamer Baig’s Post

And that's a problem. According to the WEF, "The gender gap in AI is caused by the exclusion of women at every stage of the AI life cycle, risking a vastly inequitable economic and technological system in an age where digitalization is fast advancing." How can a technology be equitable and balanced if it isn't built by a balanced and diverse group? Join us as we talk AI and the Human Factor at the next Outlet - a free webinar offered by SheTek. https://lnkd.in/gfq_rkbU #SheTek #AI #ArtificialIntelligence #AIRevolution #AIGrowth #AIForAll #DiverseAI #WomenInTech

🌐 Excited to share this insightful article on diversity in Artificial Intelligence (AI) development! 🤖 Written by amazing women from all over the world Mei L. VRUSHALI VIJAYA ROHIDAS BHAGWAT Yohara Salinas MBA,PMP,SFC, PAL Alice Hellen Owora Alejandra Nazar Kafaty and me 🤓 From addressing gender gaps to promoting inclusivity for differently-abled individuals, this article delves into the importance of comprehensive DE&I strategies in AI. 💡 Join us on a journey across continents as we explore real-life examples and actionable steps to ensure AI is not just smart, but also fair and inclusive. Let's unlock AI's potential for positive societal change and create a future where everyone thrives. 🌍 Read the full article here: https://lnkd.in/e94RcsYW Priya Patra Cecilia Boggi thank you for being with us during this journey 😊 ✏️I summarized the conclusion of the article in the visual attached. #wepowerup #beingoodenoughisamazing #togetherwerise #AI #Diversity #Inclusion #FutureofTech #Innovation

Exploring the Challenge of Bias and Fairness in AI 🤖💡 As we integrate Artificial Intelligence into our systems, we're faced with the critical challenge of bias. Whether it's race, gender, age, or beyond, AI can unintentionally mirror societal biases. How do we ensure our AI promotes fairness and equality? We are curious to hear your thoughts and experiences on combating bias in AI. How can we develop more equitable technologies? #AIEthics #BiasInAI #FairTech #BCCG

Crucial discussion! Ensuring AI systems are objective and unbiased is fundamental to ethical tech development. It's about embedding fairness from the ground up, by diversifying our teams and the data we use, and continuously evaluating our algorithms for bias. Ajitpal and I are committed to these principles, but it's a journey that requires collective effort and shared insights. I'm eager to dive deeper into this conversation and explore how we can together foster more equitable AI technologies. Feel free to DM me to continue this important dialogue or share your experiences and strategies for combating bias in AI. Let's make fairness a standard, not an afterthought in AI. #AIEthics #BiasInAI #FairTech #BCCG

Canada's AI landscape is on the brink of transformation, which is why we need to consider the impact of gender bias. Jérôme Nycz, Executive Vice President of BDC Capital (Canada), and Laura McGee, our CEO, found a striking disparity: 90% of VC funding for AI in Canada goes to all-male founding teams. To address this imbalance, they outlined three pivotal steps so we can foster a more inclusive AI landscape that truly reflects the diversity of Canadian society. Read more here: https://lnkd.in/g2yiu9wy. #vcfunding #genderdisparity #aiadoption

Now, as I move forward in this 'Rethinking AI' series, let's delve into the next thought-provoking chapter: 2/3 The Missing Female Perspective in AI. You can find the previous part (1/3 Beyond Automation) here:https://lnkd.in/etbp9GGS , and stay tuned for the final part coming soon. 2/3 -The Missing Female Perspective in AI It's a stark reality that the AI landscape has predominantly been shaped by male perspectives, and there's not a single woman among the AI initiators and pioneers. This gender gap raises important questions about diversity in innovation. Could it be that the female instinct perceives AI differently? Perhaps it brings to light the notion that humans need not become idle, as men often prioritize AI as a means to enhance their capabilities, potentially overlooking the consequences. #ArtificialIntelligence #AI #Technology #EthicalAI #GenderBias #Inclusion #DiversityInTech #FutureOfWork #TechEthics #AIImpact #SocietyAndTechnology #AIandGender #AIInnovation #DigitalTransformation #AIResponsibility

🚀 Combatting Gender Bias in AI: Why Women-Specific AI Matters 🚀 Gender bias in AI can lead to unfair outcomes, especially in women's health. Generic AI often overlooks the unique needs and experiences of women, risking misrepresentation and inadequate support. Ema stands out by being specifically designed for women, ensuring accurate, empathetic, and bias-free support. Adopting AI like Ema is crucial for equitable healthcare, offering personalized and informed assistance. It’s not just about fixing biases; it's about redefining AI's role in fostering inclusivity and understanding in women's health. Let’s embrace AI solutions that genuinely cater to and understand women, setting a new standard for fairness and precision in technology. #GenderBias #AIForWomen #EmaAI #InclusiveTech

Are we perpetuating gender bias through AI? As AI is becoming more and more pervasive in the workplace, are we sure we're including women as well? The risk of expanding the gender gap is high, so it's time to investigate and drive AI through a more inclusive space. Valeria Leuti explores this topic at Experiment Nation's upcoming conference this September. To watch this virtual and on-demand session, along with dozens of other sessions from expert conversion rate optimizers, register here: https://lnkd.in/gBi_wyqT #conversionrateoptimization #experimentation #ai

AI is transforming the way we live and work, but it's not without its problems. Gender bias is a well-documented issue in AI, with many products and services displaying inherently biased properties. To solve this problem, we need diverse teams creating these products. That's why there's so much opportunity and necessity for women to work in AI. Let's make sure the technology of the future is reflective of the diversity of humankind. #AI #GenderBias #Diversity #WomenInTechAndAI Ai Movement

Imagine this: you identify as a female and ask an AI to portray you as a scientist, and it gives you back an image - of a man. It happened to me, and it affected me deeply. Even if you're not surprised by deeply ingrained gender bias, you're shaken by it when it affects your own AI creations. How can we teach our AI tools to recognize and overcome these biases? A captivating podcast on gender bias in AI led me to a sobering realization - AI is only as impartial as the data it consumes. And the data it consumes? This is a chaotic, biased mess. AI learns from this data, from this world we live in—a world where young girls are subtly taught that science isn't their playground and that they're not cut out for it. And it is reflected in our AI. What if we changed that? What if we helped our AI observe bias, digest it, and avoid it? Imagine an AI that is as aware of bias as we are. A gender-equal AI that could serve as an example for future generations. We can identify biases, and so can AI. How can we enable AI to recognize these biases and free itself from them? What are your thoughts? #GenderBias #AI #Equality #Science #Diversity #Inclusion https://lnkd.in/gZj-WUWh