SG Analytics’ Post

Just finished the course “Ethics in the Age of Generative AI” by Vilas Dhar! Check it out: https://lnkd.in/dqim3-Uj #generativeai #computerethics. Are you ready to explore the ethical implications of Generative AI? I highly recommend the course "Ethics in the Age of Generative AI" by Vilas Dhar. Main section: This comprehensive course covers important topics such as: The potential benefits and risks of Generative AI The responsibilities of developers and users Ethical considerations in the generation of content The role of regulation and governance Benefits of the course: Understanding the ethical challenges: Gain a deep understanding of the ethical dilemmas associated with Generative AI. Developing ethical guidelines: Learn how to create ethical guidelines for the development and use of Generative AI. Preparing for the Future: Equip yourself with the knowledge to navigate the ethical implications of Generative AI in the ever-evolving technology landscape. Call to Action: I highly recommend this course to anyone interested in Generative AI, including developers, researchers, and policymakers. #GenerativeAI #ComputerEthics #AIethics Additional information: You can find more information about the course on the LinkedIn learning platform: https://lnkd.in/dRcmN9p8

🎉 After a year of workshops and virtual meetings, the Global Task Force for Inclusive AI is ready to share the first draft our Guidelines for Participatory and Inclusive AI! 🎉 These guidelines aim to provide AI practitioners with actionable strategies for meaningful engagement with marginalized communities throughout the development process. Some key aspects we've focused on include: - Addressing common challenges in stakeholder engagement - Aligning AI development with community needs - Reducing potential harms to marginalized groups - Fostering equity-oriented solutions To make these guidelines as effective as possible, we need input from across the AI ecosystem. Whether you're an AI developer, a member of a marginalized community, part of a civil society organization, or involved in deploying AI at scale - your perspective is invaluable. You can explore our guidelines and share your thoughts here: https://lnkd.in/gFdYWv25 Finally, I cannot thank the members of the Global Task Force enough for trusting me with their time, experiences, and expertise. It's been such an honor of working with the most incredible individuals who have committed the better part of their professional careers working on increasing the voices of socially marginalized people in the development and deployment of AI technology. All the best parts of the draft resource are their doing (and any errors or missteps are entirely mine!). Thank you!

🌟 Exciting Insights from Our AI Workshop! 🌟 We had a fantastic session exploring the ethical implementation of AI in the NGO sector (New Zealand context). A big thank you to all the participants for their thoughtful contributions and discussions! 🔍 What We Covered: 💡 Innovations in AI 💡 Ethical AI implementation 💡 Practical AI applications for organisations Interested in more insights like these? Subscribe to our newsletter hitting inboxes today! Don't miss out – Subscribe! https://lnkd.in/gKZXtJgt #ArtificialIntelligence #dataethics #DigitalTransformation #Techweek

🔍 Demystifying eXplainable AI: Insights from Our Recent Company Session 🔍 Few months ago, I had the pleasure of leading an enlightening session on eXplainable AI (XAI) alongside two brilliant colleagues, Alessandro Danesi from Data Reply IT and Leandro Maglianella from Target Reply Rome. Our discussion delved into the core aspects of XAI, emphasizing its significance in the evolving landscape of AI and machine learning. 💡 Why eXplainable AI? In an era where AI systems are becoming increasingly complex, the ability to understand and trust these systems is paramount. XAI is not just a technical challenge but a crucial factor for ensuring transparency, accountability, and fairness in AI-driven decisions. Our conversation revolved around how XAI can bridge the gap between advanced AI models and their practical, ethical applications. Showing also a paper published by Leandro in collaboration with Sapienza Università di Roma. 🛠️ Key Takeaways: - Transparency and Trust: Alessandro highlighted the importance of transparency in AI models, illustrating how XAI techniques can help demystify black-box models. - Ethical Considerations: Leandro shared insights on the ethical implications of AI decisions and how XAI can aid in identifying biases and ensuring that AI systems operate within ethical boundaries. Illustrating his paper in the advanced way - Practical Applications: We discussed various XAI tools and frameworks that can be integrated into existing AI pipelines. - Case Studies and Real-World Examples: Our session included several case studies demonstrating the successful implementation of XAI in different industries, showcasing the tangible benefits of making AI systems more explainable. 🌟 Collaborative Efforts: The synergy between Data Reply and Target Reply exemplifies the power of collaboration in advancing the field of XAI. Both Alessandro and Leandro brought unique perspectives and expertise, enriching the discussion and providing a holistic view of the challenges and opportunities in XAI. 🚀 Moving Forward: As we continue to innovate and integrate AI into various facets of our lives, the role of XAI will become increasingly critical. Our session reaffirmed our commitment to fostering an environment where AI systems are not only powerful but also transparent, fair, and trustworthy. I am grateful for the engaging dialogue and the opportunity to share these insights with our team. Let's continue to push the boundaries of what AI can achieve, with XAI leading the way towards a more understandable and responsible AI future. #eXplainableAI #XAI #AIethics #DataScience #TransparencyInAI #Collaboration #Innovation

Trust but verify Societal trust in AI continues to decline even as the adoption of generative AI tools grows at a frenetic pace. Why are we so willing to adopt a technology in spite of our fears about how it will shape our future? What’s behind the distrust, and can it be fixed? Sam’s exploration of the dissonance of generative AI’s growing distrust and rising usership helps us to take an honest look at our conflicted relationship with AI. One of the reasons behind AI skepticism is the alarmist views trumpeted by some sectors of the industry. A report commissioned by the US government says AI poses an “extinction-level threat” to our species. The report recommends banning open-source models even as proponents of open AI dismiss the report as bad science fear-mongering. The AI news was a little light in the AI fakery department this week. Princess of Wales Kate Middleton was hit with a deep fake image controversy over her overenthusiastic edit of a photo of her and the kids. The media’s outrage over an edited photo of a celebrity is a little hypocritical, but maybe it’s a good thing that society is becoming more sensitized to what’s real and what isn’t. #aiartcommunity #deeplearningai #deepfake #sheraz

How do we ensure that our AI systems are not only innovative but also ethical and aligned with societal values?? I've just completed “Ethics in the Age of Generative AI” Course, where Vilas Dhar dives deep into the ethical considerations surrounding the incredible potential of Generative AI, from understanding risks to implementing frameworks for analysis. Really interesting for anyone using AI tools ;) https://lnkd.in/dqAMVdSy #generativeai #computerethics.

Yesterday Chantell Frazier, Ph.D. posed a great question, “𝐇𝐚𝐯𝐞 𝐲𝐨𝐮 𝐞𝐯𝐞𝐫 𝐛𝐞𝐞𝐧 𝐢𝐦𝐩𝐫𝐞𝐬𝐬𝐞𝐝 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐭𝐞𝐱𝐭 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 𝐟𝐨𝐫 𝐲𝐨𝐮 𝐛𝐲 𝐀𝐈❓” The results were actually pretty split with: Yes - 48% No - 41% I’ve never tried it. - 11% Obviously generative AI results are as good as the prompts provided. It would be interesting to see over time how prompting skills will influence human critical thinking and also how AI performs. We currently can tell the difference between many AI outputs if time isn’t taken to ensure the quality. As we become accustomed to generative AI two questions should be the focus: 𝙒𝙞𝙡𝙡 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙚𝙧𝙧𝙤𝙧𝙨 𝙗𝙚𝙘𝙤𝙢𝙚 𝙨𝙤𝙘𝙞𝙖𝙡𝙡𝙮 𝙖𝙘𝙘𝙚𝙥𝙩𝙖𝙗𝙡𝙚❓ 𝙒𝙞𝙡𝙡 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙚𝙣𝙝𝙖𝙣𝙘𝙚 𝙘𝙧𝙞𝙩𝙞𝙘𝙖𝙡 𝙩𝙝𝙞𝙣𝙠𝙞𝙣𝙜 𝙤𝙧 𝙬𝙞𝙡𝙡 𝙥𝙚𝙤𝙥𝙡𝙚 𝙤𝙣𝙡𝙮 𝙨𝙚𝙩𝙩𝙡𝙚 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙤𝙪𝙩𝙥𝙪𝙩 𝙛𝙧𝙤𝙢 𝙗𝙖𝙨𝙞𝙘 𝙥𝙧𝙤𝙢𝙥𝙩𝙨❓ Hopefully results show that humans are more willing to learn thanks to the assistance of AI than to settle for the norm. The goal should be to evolve❗ #aigenerated #generativeai #humanconnection #qualityoverquantity #criticalthinking #futureofwork #modernworkplace #humanintelligence

What’s the latest milestone in AI? It’s not just about smarter algorithms. It’s about a vision that puts control back in your hands. That's the spirit behind AIConsole. 🌐 Dive into our case study to see how we're making this vision a reality with AIConsole. It’s a story of innovation, sure, but it’s also one of commitment to making AI work for everyone—accessible, fully customizable, and fiercely guarding your privacy. Learn how we're challenging the norm and paving the way for an AI that truly serves its users: https://lnkd.in/eHeJ_Qjd #AIConsole #aiadvancements #techforall #AI #opensource

Excited to announce that I’ll be speaking at the upcoming CDAO Melbourne conference on AI Governance! 🎤 As AI continues to evolve, it’s more important than ever to ensure that our AI systems are not only innovative but also ethical, transparent, and aligned with societal values. I’ll be sharing insights on best practices for implementing robust AI governance frameworks that can help organizations navigate the complexities of AI deployment. Looking forward to engaging with fellow data leaders and innovators who are just as passionate about shaping the future of AI responsibly. Let’s make AI work for everyone! Link: https://lnkd.in/gD6HNP3s #CDAOMelbourne #AIGovernance #AI #DataScience #EthicalAI #ResponsibleAI

Will generative artificial intelligence usher in a golden age of productivity or jeopardize millions of livelihoods across the global economy? Explore the dualities of generative AI in @Oliver Wyman Forum's report: How Generative AI Is Transforming Business and Society. The Good, The Bad, And Everything In Between. The report draws on data from our survey of more than 25,000 people across 16 countries to explore generative AI’s impact on both the workplace and the consumer economy. #AI #Workforce Ver traducción