Join us in this compelling episode of BI4ALL Talks as we dive deep into the concept of Responsible AI. This discussion, hosted by Patricia Morais and AI experts André Pedrinho and Orlando Anunciação, explores the ethical dimensions and best practices necessary to develop artificial intelligence. Learn about the principles ensuring that AI systems are ethical and practical, from fairness and privacy to transparency and accountability. Whether you’re a professional in the tech industry or simply curious about how AI impacts our world, this episode is packed with insights and examples that highlight both the potential benefits and challenges of AI in modern society. ----------------------------------------------------------------------------------- 💡Key Takeaways ✅Core Principles of Responsible AI: AI systems should adhere to fairness, privacy, transparency, and accountability to ensure ethical application. ✅Impact of AI on Society: AI has significant positive potentials, such as in healthcare, but can also have negative consequences if not managed responsibly, particularly in sensitive applications like credit scoring. ✅Regulatory Environment: Regulations like the AI Act shape how AI applications are developed by categorizing them according to risk, which has benefits and challenges for innovation. ✅Ethical Considerations in AI: Developers and companies must incorporate ethical guidelines and consider diverse societal impacts during AI system development. ✅Future of Responsible AI: As the field evolves, better tools and frameworks are needed to explain AI decisions transparently to non-specialists, promoting greater trust and understanding. ----------------------------------------------------------------------------------- ⏱Chapters 00:00 Introduction to Responsible AI 00:59 What is Responsible AI and its importance 02:24 Core principles of Responsible AI: Fairness, Privacy, Transparency, Accountability 03:55 The need for ethical AI and potentially harmful consequences 04:42 Positive and negative impacts of AI on society 07:23 Balancing model exploitation with societal needs 08:51 AI's potential in healthcare 09:34 Privacy issues with large language models 11:00 Challenges of data unlearning in AI systems 13:04 Importance of diverse data collection to avoid biases 15:39 Current regulations guiding AI ethics 17:14 The AI Act and its impact on AI development 20:53 Practical challenges and ethical guidelines in AI development 23:09 The ethical mindset needed in AI development 27:27 Future improvements and the excitement around Responsible AI ----------------------------------------------------------------------------------- Website ►► https://bi4allconsulting.com/ Instagram ►► https://www.instagram.com/bi4all/ Facebook ►► https://pt-pt.facebook.com/bi4all/ LinkedIn ►► https://pt.linkedin.com/company/bi4all TikTok ►► https://www.tiktok.com/@iambi4all -----------------------------------------------------------------------------------
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