Djenane Haitian-American Chamber of Commerce’s Post

Access to #AI skilling is currently not equitably distributed across all talent pools. Here’s how organizations can address AI #equity gaps to tackle #talent scarcity: https://lnkd.in/gq8spyRH

Four ways to drive equity in AI adoption :-  1. Rethink skilling; 2. Explore possibilities and limitations;  3. Take a personalized approach; 4. Foster collaboration;

Four ways to drive equity in AI adoption....

What’s Behind the Gender Divide in AI Usage? 🤔 A recent study highlights a gender divide in generative AI adoption. While half of men reported using AI tools in the past year, only 37% of women said the same. The reasons range from lower self-reported tech confidence to concerns about risks, reflecting broader societal patterns of tech adoption. This gap has real-world implications: generative AI is reshaping industries and amplifying productivity. Without proactive steps to foster inclusivity, the gender pay gap could widen as AI accelerates automation in roles disproportionately held by women. 💡 At Sentient Search, we’re committed to creating an inclusive AI-driven workforce. That means advocating for diverse talent pipelines and working with employers to prioritize equitable hiring practices. The future of AI shouldn’t just be shaped by a few voices—it requires the creativity and perspectives of everyone. We believe in empowering professionals of all genders to embrace the potential of AI. By supporting digital literacy and fostering trust in emerging tech, we can help close this gap and build a more equitable tech ecosystem. Let’s work together to ensure AI innovation benefits everyone. What steps can we take to make the AI space more inclusive? Share your thoughts below! #AIforEveryone #WomenInAI #DiversityInTech #InclusiveRecruitment #GenerativeAI https://lnkd.in/ekc4xPQ3

Brené Brown said, “The biggest shame trigger at work is the fear of being irrelevant.” The AI gender gap is significant, and this Human Resource Executive article from JESS VON BANK details three actionable steps. #ArtificialIntelligence #AI #GenderGap #HRStrategy #HRTechnology #HumanResources

Insightful article on "why women are less likely to use #AI," from Bloomberg. Controlling for education and salaries in a U.S. sample, half of men had used generative AI in the last year vs 37% of women. This gap has consequences for innovation and productivity, and will exacerbate gender pay inequities. How can we encourage more even adoption of these tools? Add your thoughts in the comments! https://lnkd.in/gbFHJcqJ #tech #equity #generativeAI EDGE in Tech™ at UC | Genevieve Smith | Brandie Nonnecke, PhD

A recent Bloomberg article highlights a concerning trend: women are less likely than men to adopt artificial intelligence (AI) tools, a disparity that could widen the existing gender pay gap in the workplace. I think this stems from a wider statistic that there are much more men in tech vs women. According to Wikipedia, the technology sector remains male-dominated, with women constituting only about 25% of the workforce. As AI continues to revolutionize workplaces and employers increasingly prioritize hiring talent with AI proficiency, the question arises: how can we effectively address this gap and ensure that technological advancements help bridge, rather than widen, the gender pay divide? What are your thoughts?

Randstad’s has just released our latest report: 'Understanding Talent Scarcity: AI & Equity.' This report shares fresh insights into the impact of AI on equity and talent scarcity across the global workforce. This report isn’t just about data - it’s a call to action for us all. Some of our key findings from our research reveals that while 71% of AI-skilled workers are men, only 29% are women - indicating a substantial 42 percentage point gender gap. Worryingly only 22% of Baby Boomers have received training in AI, compared to nearly half of Gen Z talent. Additionally, regarding persons with disabilities, the report finds that 55% of talent with disabilities use AI to problem-solve at work, compared to just 39% of their peers. Please drop me a line for a more detailed discussion on our findings in the Australian market. https://lnkd.in/gnKrZ4Hf

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

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