Lisa Longman’s Post

The Global Index on Responsible AI (GIRAI) was recently released, providing the first global standards for responsible AI and assessing their implementation across countries worldwide. Key Highlights: 1. Having regulations in place doesn't automatically result in responsible AI.. 2. Mechanisms ensuring the protection of human rights in AI are limited. 3. International cooperation is a cornerstone of current responsible AI practices. 4. Gender equality remains a critical gap in advancing responsible AI. 5. Key issues of inclusion and equality in AI are not being addressed. 6. Workers in AI economies are not adequately protected. 7. Responsible AI must incorporate cultural and linguistic diversity. 8. Major gaps exist in ensuring the safety, security, and reliability of AI systems. 9. Universities and civil society are playing crucial roles in advancing responsible AI. 10. There is still a long way to go to achieve adequate levels of responsible AI worldwide. Link to the full report: https://global-index.ai/

Is generative AI use divided by gender? In this article, Bloomberg explores how men and women approach this transformative tech differently – and why closing the gap matters for careers and economic mobility. #technology #genai #generativeai #diversityintech #genderequality #aiadoption #womenintech

This very well-written article shines a light on the often-overlooked issue of (not only) gender bias in AI models. Technology moves fast, often faster than our efforts to make sure it's doing more good than harm. This article serves as a powerful reminder of our responsibility to actively confront biases and strive for more inclusive and equitable AI systems. #EthicalAI #GenderBias #InclusiveTech https://lnkd.in/gJtYf_pw

Generative AI’s outputs still reflect a considerable amount of gender and sexuality based bias, associating feminine names with traditional gender roles, generating negative content about gay subjects, and more besides, according to a new report from UNESCO’s International Research Centre on Artificial Intelligence. Time to ask ourselves - do we need more skewed notions than there are already in society? Indeed cause for concern. #generativeai #inclusionmatters https://lnkd.in/giwjSgFx

As every engineering leader reading the news will know, in this era of AI-everything, you have to be careful that your AI application isn’t hallucinating in a way that will severely damage your brand. That’s why we’re so lucky to have Pedro Silva, a Manager of ML Engineering on the Inclusive AI team at Pinterest, share best practices on ethical AI development. How do you do prompt engineering to minimize harm from AI applications in your workflow? How do you go even further to build better models, if you’re designing from scratch? Pedro answers your questions at our next #TechLeaderChat! RSVP: https://lnkd.in/edSjV2SK

AI is having difficulty generating images of men doing domestic labour. This is due to how it has been trained to see the world, through the 20 million+ entries in the dataset it has learnt from. Our content. How will this 'bias' impact AI's ability to assess candidates for leadership roles? ANZ is already using AI technology to assess home-loan applications. What are the implications for women and others?

Research shows that women are more likely than men to consider societal, ethical and political implications in their work on #AI – one of the many reasons we should be minding the gender gap in #AI. I am a firm believer that when diversity of thought is brought to the table, we are better able to shape and face the challenges of the future. Cheers to empowering women to be at the forefront of the AI revolution. #GenderEquality

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

We have something really interesting for you! 😃 Iga Trydulska (K MAG) delivered an excellent lightning talk at WarsawJS Meetup #116 titled “How LLMs influence the gender bias portrayed in the media?” 🔍 In her talk, Iga explains how the development of artificial intelligence can contribute to the perpetuation of gender stereotypes in the media. She discusses how input data and neural network structures can influence the outputs of generative AI and proposes possible solutions to this problem. If you're interested in AI and ethics in technology, this talk is for you! Enjoy! 🍿 🎥 Video — https://lnkd.in/dVSdprfp On August 14, WarsawJS Meetup #117 will take place! We've prepared many interesting presentations for you. Tickets can be purchased by clicking the link below 👇 🔖 Tickets: https://lnkd.in/dtZmKC5G #WarsawJS #Meetup #AI #TechEthics

🚽 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