New resource for NIH on AI policy

🛡 The applications of synthetic data today are diverse and remarkable, as they play a vital role in addressing an unavoidable ethical and legal dilemma: the protection of personal data This challenge is particularly prominent in the healthcare industry ⚕ a sector grappling with the pressing need to conduct continuous research and studies while respecting patients' sensitivity regarding their medical history. Join us in today's post to explore some key elements of the challenges facing the sector and how synthetic data provides a tailored solution 🔑 #Dedomena #AI #SyntheticData #HealthcareResearch #DataPrivacy #InnovationInHealthcare #DataScience

As artificial intelligence is increasingly adopted in healthcare, governments around the world are beginning to respond by drawing up regulatory frameworks to ensure safe development. In this article for Healthcare World, Gerard Hanratty, our Partner and Head of Health and Life Sciences, examines some of the key issues being considered by various international jurisdictions. He sets out the key issues to address including data privacy, bias, and transparency. Read the article here: https://bit.ly/4hWBM5V #Healthcare #AI #Regulation

An interesting read on the balance between Innovations in AI and healthcare regulations 👏🏼👏🏼

🚨 Ethical Concerns in AI-Driven Medicine: Let's Discuss! 🚨 As AI continues to revolutionize healthcare, ethical considerations are becoming increasingly crucial. Let's delve into the potential ethical dilemmas and challenges we might face in integrating AI into medicine. 🧠 How do we ensure patient data privacy? ⚖️ What measures can we take to avoid biases in AI algorithms? 🤖 Where should we draw the line between human judgment and machine recommendations? 💡 How can we address the inequality in access to AI-driven healthcare solutions? Your insights, experiences, and thoughts are invaluable! Share your perspective and let's engage in a meaningful discussion about these important issues. Drop your comments below! 💬👇 #AIinMedicine #EthicsInAI #Healthcare #ArtificialIntelligence #MedicalEthics #LetsDiscuss

The AI Act has been published in the Official Journal of the European Union on 12 July 2024. This Regulation shall enter into force on the twentieth day following that of its publication in the Official Journal of the European Union. It shall apply from 2 August 2026. However: (a) Chapters I and II shall apply from 2 February 2025; (b) Chapter III Section 4, Chapter V, Chapter VII and Chapter XII and Article 78 shall apply from 2 August 2025, with the exception of Article 101; (c) Article 6(1) and the corresponding obligations in this Regulation shall apply from 2 August 2027. --> https://lnkd.in/euGfjvqx #AIAct  #ArtificialIntelligence #kpmglaw CC: George Manea, Laura Nicole Gradinescu, Elena Cioponea

The Future of Privacy Forum (FPF) just released updated considerations for developing internal policies to ensure responsible, legal, and ethical use of generative AI tools by employees and vendors. As an organization using or planning to adopt generative AI, it's crucial to: • Ensure compliance with data protection, security, and anti-discrimination laws • Provide training on limitations, risks, and appropriate uses • Establish clear policies on approved uses and require disclosure • Implement systems to document and verify outputs • Recognize ongoing responsibilities like impact assessments and auditing • Balance system outputs with legal requirements, values, and policies to mitigate harms • Engage cross-functional experts to identify and address a wide range of legal issues The rapid advancement of generative AI is pushing us all to quickly adapt our governance frameworks. Comprehensive, evolving internal policies and training are essential to reap the benefits while proactively managing risks and unintended consequences. Check out the full set of considerations from FPF: #GenerativeAI #AIPolicies #FutureOfPrivacy #Compliance #RiskMitigation #Governance #Ethics

Workers are using generative AI tools in every field, across specialities, and at all employment levels; there are few jobs in which LLMs are not relevant in at least one application - Future of Privacy Forum. Organisations are grappling with the legal and social risks, benefits, and long-term consequences of organisational support and the use of generative AI and are rapidly revisiting internal policies and procedures to ensure responsible, legal, and ethical use. #ai #artificialintelligence #generativeAI #LLMs #responsibleai #aiethics #airisks #aipolicies #futureofwork #digitaldisruption #digitaltransformation #disruptivetechnologies Paidi O Reilly Prof. Dr. Ingrid Vasiliu-Feltes Martin Moeller Aaron Lax Richard Turrin Sally Eaves Imtiaz Adam Irene Lyakovetsky🎧🎙 Dinis Guarda Antonio Grasso Dr. Martha Boeckenfeld Ian Jones Nicolas Babin Mike Flache Dr. Marcell Vollmer Enrico Molinari Efi Pylarinou Franco Ronconi Dr. Khulood Almani🇸🇦 د.خلود المانع Olivier Kenji Mathurin Birgul COTELLI, Ph. D. Zvonimir Filjak Eveline Ruehlin Nafis Alam Patrick Maroney Orlando Francisco F. Reis Olivier Gomez (𝐎𝐆) Dr. Debashis Dutta Prof. Dr.Dominique J.E. Delporte - Vermeiren, PhD., Hon.Dr. Victor Yaromin Neville Gaunt 💡⚡️ Olivier LABORDE Giuliano Liguori Per Brogaard Berggren Hope Frank Jean-Baptiste Lefevre Lionel Costes Anthony Rochand Dr. Marianne Roux

What’s on the agenda for the next Futurist and Innovation Committee (FIC) Webinar? Following the topic of “A Critical Perspective on AI and Digital Health Education,” we will delve into the profound implications of artificial intelligence (AI) in the healthcare and medical education sectors. This session will guide participants through an analysis of the ethical considerations of AI, particularly in relation to patient data privacy and security. We will evaluate how AI influences health decision-making processes, discussing both the potential benefits and inherent biases of AI systems. Register now at: https://lnkd.in/eGA8kjEP #GAMEcme #CPD #medicaleducation #healthcare #lifelonglearning #continuingmedicaleducation #continuingprofessionaldevelopment

AI is fundamentally dependent on data, but the vast majority of health data goes unused for understandable reasons — chiefly patient privacy, regulation and IP protection. “This is the core underlying problem” of building AI solutions for life sciences and related areas like pharmaceutics, said German entrepreneur Robin Röhm. And not only that: collaboration when […] © 2024 TechCrunch. All rights reserved. For personal use only.AI in healthcare relies heavily on data, yet a significant portion remains untapped due to privacy concerns, regulations, and intellectual property issues. German entrepreneur Robin Röhm emphasizes that these challenges are fundamental barriers to developing AI solutions in life sciences and pharmaceuticals. Additionally, collaboration among stakeholders is hindered, exacerbating the difficulties in leveraging health data effectively to drive innovation and improve patient outcomes.Apheris rethinks the AI data bottleneck in life science with federated computing

The growing importance of explainability, data privacy, and trustworthiness in AI is becoming increasingly evident across society. These aspects are key to building public trust and confidence in AI-driven technologies, especially in sectors like healthcare. To push the boundaries of these dimensions, the BHI is excited to announce an upcoming AI Scientific Challenge. Apply by October 10: https://lnkd.in/efpT-WHy.