Ivana Bartoletti’s Post

Google is now working to make adjustments to their algorithms so that AI generated content is excluded. I saw an article yesterday on their preliminary assessments, and they plan to only allow entirely human or at least half humanly-edited content to show up in searches. DM me if you want me to find it. I plan on sharing it with my students when Spring Quarter starts next week. #AI #HigherEducation #Google #writers

Have you ever wondered if our smart gadgets and the AI behind them could unknowingly favor men over women? As we celebrated International Women's Day on March 8th, let's dive into a crucial conversation about the silent but pervasive gender bias in artificial intelligence. It's a contemporary twist on an age-old problem, revealing that even our most advanced technologies haven't yet escaped the shadows of societal biases. But don't lose hope just yet! Real, passionate efforts are underway to steer us back on course, ensuring that AI serves and uplifts everyone equally. Through engaging stories of innovation and perseverance, we uncover how each of us can play a part in creating a tech ecosystem that's fair and inclusive. 🔗 Click on the link below to read my latest article on Medium about the gender bias in AI systems and discover how we can all contribute to making a difference. https://lnkd.in/ggmz3u22 #InternationalWomensDay #AI #GenderBias #TechForGood #linkedin #technology

You would think we had surpassed the need for me to write this but... The lack of women in AI decision-making roles is a massive oversight that could hinder technological progress and fairness. Ensuring women are in these positions is essential to reducing bias and making AI more equitable for everyone. IBM's research shows that diverse teams lead to better AI outcomes, reflecting a broader spectrum of society's needs. Businesses need to prioritise gender diversity in leadership roles to harness the full potential of AI. #AI #Diversity #Leadership

The more we interact and engage with large language models such as ChatGPT, the more we reflect on what it means to be human in the AI world.  For business leaders, the challenge and opportunity is to harness the power of AI to build “ultra-human” organisations, driven by technology that serves the greater good. That’s the theme we’ll explore in “Humanizing Leadership in the AI World,” at Duke CE’s annual Davos of Human Capital event, in person in Johannesburg on August 21, 2024. Our top international speakers will be asking: 🔹 How can business leaders best utilise AI to minimise the concerns and maximise the potential benefits? 🔹 What should business leaders be doing to integrate smart AI technologies into their enterprises? 🔹 How can AI be deployed to accommodate the very human needs of diversity, inclusivity, gender equality, the empowerment of women, and the transfer of knowledge across generations? “Humanizing Leadership in the AI World” will offer a valuable forum for discussion and debate around these issues. Stay tuned for further updates! Sharmla Chetty, Andrés Saint-Jean, Angie Naidoo, Nishen Munnisunker, Brian Chivere, Zee Harduth CA(SA), Nomacala Mpeta, Milcah Iwisi, Henry Nolan, Dr Beth Ahlering, Karen D.

In an industry where gender disparity is still a significant issue, AIforAll is steadfast in its mission to promote an inclusive future. Our latest initiative, the AI MasterClass for senior women executives, co-hosted with Supersonas and Cisco is a testament to our commitment to closing the gender gap in AI, one step at a time. The MasterClass journey was more than just a training program- it was a transformative experience that equipped these leaders with the knowledge and tools to integrate AI into their strategic planning. The course covered a range of topics from AI-driven automation to advanced data analytics, emphasizing practical applications that participants could immediately implement in their roles. The impact was clear: participants left the program inspired and more capable, armed with actionable insights to lead their teams and organizations towards a more equitable future. This initiative is one of many steps AIforAll is taking to ensure women are equally represented and empowered in the AI field. Join us as we continue to make strides toward gender equity in AI. Stay tuned for our next MasterClass in July🌞 #AI #leadership #executiveeducation

“Women, particularly those in politics and other leadership positions, are increasingly targets of gendered mis- and disinformation campaigns. This phenomenon tends to be even more pronounced for female political leaders from minority groups who are highly visible. These risks have a silencing effect on women, about half of the world’s population, leading many to disengage online and even to avoid politics and leadership positions altogether.” Joan Goodchild interviewed OECD.AI's Celine Caira for this article about the risks of perpetuating old biases in new technologies. It also explores ways of bridging the gender gap in AI. The truth is that women and minorities are underrepresented in the design of AI technologies, inevitably leading to "flawed design and an overall negative impact on overarching solutions." Karine Perset Luis G. Aranda Jamie Berryhill Orsolya Dobe Jacqueline Lessoff Yuki Yokomori  Lucia Russo Noah Oder Fabio Curi M Besher M. John Leo Tarver ⒿⓁⓉ Riccardo Rapparini Rashad Abelson #oecdai #trustworthyai #genderbias #artificialintelligence #STEM #womenintech

Empowering women in AI leadership is not just vital for diversity but essential for creating balanced AI solutions that reflect our diverse society. Learn how increasing female leadership in AI can combat gender bias and ensure equitable benefits across the board. #womenintech #leadership #ai #genderequality #innovation #focusgts https://lnkd.in/ekSPcpGc

"Embracing the Synergy of Human-AI Collaboration"As we engage with advanced language models,  we uncover new insights into the human experience. Let's leverage AI to create a new era of "augmented humanity," where technology enhances our strengths and fosters a more compassionate, inclusive world.Join the "Humanizing Leadership in the AI World" event in Johannesburg on August 21, 2024, to explore:How AI can amplify human potential.Ways to integrate AI for sustainable growth.Harnessing AI to drive diversity, equity, and innovation.Together, let's forge a brighter future where humans and AI thrive!

Last week, during our MHP Diversity Days, my colleagues Adina Hadzic and Elena Köster highlighted the often-overlooked issue of #genderbias in #AI. Here are some takeaways from their insights. AI algorithms, trained on real-world data with inherent biases, often result in "bias in, bias out." One major source of bias is the #genderdatagap, where men are overrepresented, and gender-specific nuances are overlooked. Historically, data models have used the male body as a standard, leading to significant gaps in representing women in fields like technology, medicine, urban planning, and office design. Our world is not free from bias, and these biases can lead AI systems to carry on inequalities. The lack of #diversity in tech and development teams intensifies this issue. With women making up only about 30% of AI professionals globally (Global Gender Gap Report 2023), inclusive development practices are urgently needed. 🔍 What might be the consequences of gender bias? ◾ AI-driven hiring tools may favor male candidates, limiting women's job opportunities. ◾ Biased language models can reinforce stereotypes and reduce gender visibility. ◾ Gender bias in healthcare, finance, and criminal justice systems sustains systemic inequalities. ◾ Public trust in technology is undermined when AI systems exhibit bias. ◾ Discriminatory AI practices normalize inequality and hinder gender parity. Key ethical principles like transparency, fairness, and responsibility are essential to ensure AI systems act in the best interests of all people and minimize unjust outcomes. To look at some facts: despite AI's potential, only 33% of the German population trusts AI. While 79% of executives recognize the importance of #AIethics, only 25% have implemented operationalized ethical principles. 💡 What can be done to limit bias in AI? 1️⃣ Use diverse data and conduct algorithm audits: ensure diverse datasets and regularly audit algorithms for biases, including broad gender identities. 2️⃣ Promote diversity and inclusion in #AIDevelopment: increase the participation of women and underrepresented groups for diverse perspectives. 3️⃣ Establish #EthicalGuidelines: develop clear, fair frameworks for the responsible development and deployment of AI systems, emphasizing fairness, non-discrimination, and human rights. The #EUAIAct is a leading example of such regulation. 4️⃣ Educate and empower users: raise awareness about gender bias in AI to foster informed and proactive use. User education is crucial to ensure people understand the impact of bias and can advocate for fair AI practices. 5️⃣ Implement #ExplainableAI (XAI): make AI decisions transparent and understandable to uncover and address biases. Explainable AI helps in identifying and correcting potential discrimination. By embracing these strategies, we can build a future where AI is fair, equitable, and inclusive. 🌍💻 #AI #GenderBias #AIBias #AIDiscrimination #Inclusion #Diversity #EthicalAI #TechForGood

So how do you adeptly navigate the complexities of AI integration, balancing ethical considerations and technological advancements with a profound focus on the human element? These and many other questions answered: 21 August - The Forum, The Campus JHB. Lead with AI, Leadership for tomorrow, today! #AILeadership Duke Corporate Education