HeadStart’s Post

Happy International Women's Day! I am concerned... 😦 There is a gender gap in the usage of AI and it's alarming. Why most human designed AI & technology pictures seem to be blue / grey colored, a color that typically is linked to masculinity? Luckily I have AI to assist me in removing the bias. 💗 According to a study, women are falling behind in adopting AI (last year 35 % of women were using AI either or both in personal and professional life compared to 54 % of men). So women, let's pick up the pace - this is your sign to start using AI today! 🚀 #internationalwomensday #gendergap #ai #futureofwork #DEI #EmpowerWomen https://lnkd.in/d2BD2ph5

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

Excellent article by Alice Evans about the potential great divergence in AI usage Women in one study were 26.4% less likely to use AI and she cites numerous studies that compare within industries and across multiple countries. One interesting thing to note? The biggest discrepancies were when generative AI was banned. Apparently men continued to use it and women's usage dropped quite a bit. How do we get as many people around the table as possible to create #AI4All? #responsibleAI #inclusion

If you think AI is going to change culture for the better, read this.

🚽 All I wanted was an AI image of a man cleaning a toilet 🚽 Possibly one of the best titles to an article I have ever seen! Courtesy of The Female Lead, Dr. Samantha Pillay explores the gender biases embedded in AI-generated images, particularly in relation to domestic tasks. Some key takeaways: 1. Gender Bias in AI: in attempting to generate an image of a man cleaning a toilet she found that AI struggled to create a plausible or competent depiction of men doing domestic chores, reflecting common stereotypes that associate women with these tasks. In contrast, generating an image of a woman cleaning a toilet was significantly easier, with the results appearing more natural and competent. 2. AI Training and Stereotypes: AI models, such as Midjourney, are trained on vast datasets pulled from the internet, which often contain gendered stereotypes. As a result, AI reproduces these biases by associating domestic tasks with women, simply reflecting the unequal way domestic work is represented online and in media. 3. Impact of Content Creation on AI: Dr Pillay suggests that content creators can challenge and reshape these biases by producing and sharing more diverse, gender-neutral representations of domestic work. By doing so, they can indirectly influence AI's training datasets and help promote more equitable gender representations in future AI-generated content. 4. The Power of AI for Change: despite the limitations and biases of current AI systems, the article emphasises the potential of AI to be a tool for positive change. Dr Pillay highlights her own use of AI in creating a film to raise awareness about urinary incontinence, demonstrating how AI can be a valuable resource in addressing social issues while offering new creative possibilities. Overall, the article underscores the need for more thoughtful and inclusive content creation to challenge and alter the gendered assumptions built into AI models and the digital landscape. What do you think? https://lnkd.in/eAnR5xhE #ai #artificialintelligence #genderbias #unconsciousbias #edi #diversity #technology

Why Women Should be in Control of Artificial Intelligence In recent years, there has been a growing call for increased gender diversity in AI development and leadership roles. This article delves into why women should be at the forefront of AI, exploring the unique perspectives, skills, and contributions they bring to the table. https://lnkd.in/gvdbHzwN #Artificial Intelligence #Technology #AIDevelopment #AISystems #AITechnology #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

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

Wrapped up another fabulous event last week in Austin with MLOps World’s Generative AI Summit. 💡What was my highlight? Marinela Profi’s inspiring keynote wrap up where she encouraged more women to use generative AI. She shared the statistic published by the World Economic Forum that 59% of men are using #GenAI once a week, compared to 52% for women. It’s so important that we, as women, continue to stay competitive and push ourselves to learn and grow in a space that may often feel intimidating or new. ⭐️So the question is… have you used Gen AI to help with your productivity? If not, make a plan to use it this week. Let’s bridge the Gen AI gender gap together. #womeninAI #womenintech

According to the World Economic Forum, 59% of 18-65 year old male workers use Gen AI at least once a week, which is more than women (51%). For those aged 18 to 25, 71% of men use AI, compared to 59% of women. This hints at a notable gap in AI adoption between genders, suggesting that women may be less inclined or have fewer opportunities to engage with these emerging technologies. This disparity could place women at a disadvantage, particularly as GenAI is expected to significantly impact women's jobs. However, by proactively familiarising themselves with AI, women can even position themselves as leaders in shaping the future of these technologies. Women already bring their own strengths to the workplace, and if they become even more involved with AI, they can help ensure the inclusivity of these technologies. Their involvement can lead to better detection and mitigation of biases within algorithms, addressing the discrimination that is often amplified by AI. #womenandAI #womenintheworkplace #GenAI