La French Tech Hong Kong - Shenzhen’s Post

The rapid advancement of Generative AI (GenAI) in healthcare presents both promising opportunities and significant ethical challenges. This comprehensive analysis highlights the need for robust ethical guidelines and intoduces the Transparent Reporting of Ethics for Generative AI "TREGAI checklist" to ensure responsible GenAI research.

The benefits and risks of AI in the context of research integrity and ethics - something I’m interested to learn more about on 9 October. You might be too? UWS colleagues we are members so signing in to register not going to be a problem.

🚀 Exciting news from Plus Ethics! We've just published a compelling new article on our blog: "Towards a More Trustworthy AI: Relevance, Analysis, and Prevention of Discriminatory Biases in the EU Context." 🌍🤖 Our research team has delved deep into the ethical challenges posed by AI tools, focusing particularly on the critical issue of discriminatory biases in decision-making processes. This thorough analysis is grounded in a review of 21 key European documents published over the last eight years, offering insights into bias minimization measures and highlighting the need for a unified European conceptual framework for clearer and more effective strategies. 🔍 Discover our findings and recommendations for advancing trustworthy AI in Europe. Your thoughts and discussions are welcome! Read the full article here: [Plus Ethics Blog](https://lnkd.in/ddibsNTr) #AIethics #ArtificialIntelligence #EURegulations #TechEthics #Innovation

Our partner, NKUA (National and Kapodistrian University of Athens), shared key outcomes from the recently concluded "Springer 2nd International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications": https://lnkd.in/gRB2zumq Key insights: - Ethical Implications: Addressed the moral considerations behind AI development and deployment. - AI in Multidisciplinary Fields: Explored AI's growing role in areas like healthcare, education, and more. - Research: Showcased advancements in AI technologies and methodologies. This event was a great opportunity to advance the conversation on AI's responsible integration into society and the future of innovation

▶NEW The TREGAI checklist to adessing Ethical Challenges of Generative AI in Healthcare Ning et al. reviewed ethical considerations of generative AI in healthcare, highlighting key gaps: (1) limited proposed solutions for ethical issues; (2) insufficient focus on ethical concerns beyond large language models, neglecting methods like GANs; (3) lack of standardized frameworks for addressing ethics; and (4) limited discussion on multimodal GenAI. To bridge these gaps, they developed the TREGAI checklist—a tool to help researchers, journals, and regulators ensure transparency in addressing ethical issues of GenAI in healthcare. #AI #Ethics #Healthcare The Lancet

This www.open-evidence.com is the website of Open Evidence since 2013 and steadily provides insights and downloadable materials on various topics such as #AI ethics, #digitaleconomy and society, #behaviouralexperiments, and much more. #bigdata #insights #behaviouralstudies #impactassessment #experimentaldata #observationaldata #qualitativedata #consulting #research 

"The 2024 Ethics and Tech conference left a lasting impact on me as a bioethicist who previously worked in healthcare for more than two decades. What are our tasks ahead? Are we, humans, worth the challenges? Are we responsible for the dignity, sanctity, and well-being of others and our future generations?" AI and Faith's Yuriko Ryan summarizes the 2024 Ethics and Tech Conference at Seattle University.

👏"human-rights-centred approach to AI ethics and governance" is so important in an era of AI, AI agents, and digital knowledge workers. I also explore the inevitable impact of AI on knowledge workers in my new futuristic AI book "AGENTWARE": https://lnkd.in/gydseb-D #ai #agentware

🌟 Concordia AI Featured in National University of Singapore’s Online Course on AI Ethics 🌟 Kwan Yee Ng 吴君仪, Senior Program Manager at Concordia AI, joins a lineup of academic luminaries including Prof Walter Sinnott-Armstrong, Prof Simon Chesterman, and Prof Vincent Conitzer in this comprehensive 14-part course exploring the intersection of ethics, AI technology, and law.  https://lnkd.in/gvUJztj9 📚Hosted by the National University of Singapore's Centre for Biomedical Ethics the course covers a diverse range of subjects including: the history of AI development and its impact on society the implications of how AI processes data and makes decisions like (or unlike) humans, and how AI enters (or intrudes) into the most private aspects of human lives, including in the field of medicine and healthcare.   🔍 Participants who attend the course will be able to better: recognise the potential ethical, legal, and social impact of AI, and understand, analyse, and articulate the ethical dilemmas and challenges that can arise from the introduction or implementation of AI   Our target audience includes: 💻 AI Researchers & Technology Specialists 🩺 Healthcare Professionals 📚 Academics & Educators ⚖️ Legal Practitioners 🏛 Government Officials & Policy Analysts Learn more here: https://lnkd.in/gvUJztj9 #AIEthics #LegalTech #ResponsibleAI #TechnologyandSociety

🌐 Achievement Unlocked! 🌐 I’m thrilled to share that I have successfully completed the Artificial Intelligence: Ethics & Societal Challenges course! 🎓 This course has equipped me with essential insights into: Ethical Implications of AI: Understanding the ethical considerations involved in the development and deployment of AI technologies. Societal Impact: Exploring how AI affects society, including issues of privacy, employment, and inequality. Bias and Fairness: Learning strategies to identify and mitigate biases in AI systems to ensure equitable and fair outcomes. Regulatory and Policy Challenges: Gaining insights into the regulatory frameworks and policies shaping the future of AI and their societal implications. Case Studies and Real-world Applications: Analyzing real-world scenarios to understand the practical challenges and ethical dilemmas associated with AI technologies. I’m excited to apply these insights to contribute to the responsible and ethical development of AI solutions that positively impact society. A big thank you to the instructors and the platform for this comprehensive and thought-provoking learning experience! #ArtificialIntelligence #AIethics #SocietalImpact #MachineLearning #Bias #Fairness #AIRegulation #ProfessionalDevelopment #CareerGrowth