Diana Wu David’s Post

Technology is meant to be a great equalizer but a striking #GenderGap persists in the realm of #ArtificialIntelligence #AI, both in terms of adoption and development. This month, we celebrate women’s achievements while bringing disparities to light. The latest blog from Sylvia Hooks addresses why women lag when it comes to AI, and what to do about it. https://hpe.to/6045X7waP #InternationalWomensDay #WomenInTech

With Women's History Month in Mind Here's an interesting read on how generative AI can lead to gender bias. The article discusses gender bias in generative AI. It highlights the issue of AI systems reflecting societal biases, and the negative consequences this can have. These biases are perpetuated by the data used to train AI systems. The lack of women in leadership positions in the field is also a result. The solution is increased participation of women in AI development. Everything circles back to the need for greater diversity and inclusion. https://lnkd.in/gmwUQ8xV #womenhistorymonth

Unsurprisingly, the new wave of artificial intelligence known as generative AI has demonstrated that cutting-edge algorithms are not immune to gender bias. Whether it’s content hypersexualizing women, replicating stereotypes or reinforcing gender-based discriminations, these so-called revolutionary tools clearly have their limitations and issues. According to Estelle Pannatier, Policy and Advocacy Officer at AlgorithmWatch CH, there are already some possible legal recourses to counter these. But a lack of transparency remains on how AI is trained and used, which makes it harder to highlight the discriminations these technologies can cause. Le Temps Sparknews

While I agree that a big part of the answer to the bias in #AI is more women, more minorities, more seniors and more diversity in AI talent, getting there isn't simple. There’s a shockingly simple answer to the AI bias conundrum: More diversity

Learn how to fix lack of representation in AI, here: https://cogniz.at/4eF1WqW #Diversity #Inclusion #AI

🤯 AI has the potential to influence more people than any other technology we have ever experienced. 👉 Therefore, in anticipation of the Tech Show London tomorrow, and the Big Data and AI exhibit, we are re-sharing this 5 min article on the importance of women in AI, and why we can't miss the boat the way we did with other previous tech explosions. #womeninai #womeninscience #womenempowerment #ai #ethicalai https://lnkd.in/e3A_eDth

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

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

Sharing my article with @GenderIT :“WOMEN IN THE ERA OF ARTIFICIAL INTELLIGENCE: INCREASED TARGETING AND GROWING CHALLENGES “ To understand bias in AI, it must be mentioned that biases are not the result of a sudden moment, but rather appear in several stages of artificial intelligence systems, from the algorithm development process, to the dataset training phase, to how they handle the decision-making. Read the full article here 👇 https://lnkd.in/d6EK3NuX

For #InternationalWomenDay, I thought it would be great to recognize women who are not just shaping the future of #AI, but have been pivotal in laying the foundation for #AIpractices across industries. Their tenure in the field is remarkable, many with decades long careers laying the foundation for AI. Yet, they are still often overlooked in favor of their male counterparts, many of whom just recently began working in AI in the last few years. Let's celebrate the diversity of ideas and the contributions of women to this very important and very rapidly emerging field. https://lnkd.in/eUknnb-F