Dedomena.AI’s Post

Yesterday, I attended an insightful Regulatory Affairs Professionals Society (RAPS) webinar hosted by Honz Slipka and Anaya Rehman, Senior Transparency Specialist at Certara. The session focused on "Disclosure Without Exposure," led by Honz Slipka, delving into the crucial balance between clinical data protection and transparency. The webinar highlighted the significant role of AI in enhancing both data protection and trial disclosure. #RegulatoryAffairs #Transparency #AI #ClinicalDataProtection

🚨 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

Today, during the Pontificia Universidad Católica del Perú Programme, we were joined by Dr. Marcus Tomalin and Professor David Erdos, Fellows of Cambridge University. They led a session on the ethical considerations and regulatory frameworks surrounding AI, with a focus on the legal implications of data handling. Participants gained valuable insights into navigating these complex and rapidly evolving issues, helping them to foster responsible AI integration within the legal profession. #leadershipdevelopment #executiveeducation #møllerinstitute #Artificialintelligence #legalpractice #AIinlaw

Explore how artificial intelligence (AI) can be used to mine data from electronic health records (EHRs) and social media in order to predict an incapacitated person's preferences regarding health care decisions with the AMA Journal of Ethics. Learn more. https://lnkd.in/g4KeHs2E

🚨⚠️ Special Collection on Artificial Intelligence by UNICRI - United Nations Interregional Crime and Justice Research Institute 👆 What is it about - a collection of inspiring articles 👆 Here are some excerpts and citations from the Foreword: 👉 The potential of the AI for law enforcement, legal professionals, the court system and even in penal system to augment human capabilities is enormous 🚓🌟 👉 need to truly test the limits of our creativity and innovation to overcome the challenges that come with these technologies, as well as to develop entirely new approaches, standards and metrics that will be necessitated by them 🧐 👉 need more thought on the full range of legal aspects of AI, identify current use-cases and possible future scenarios and test boundaries ‼️ 👉 these articles shall stimulate discussion in this domain and on how to shape the design of the policies and legal frameworks of the future and provide guidance to those who will build the AI-based tools and techniques in question #artificialintelligence #lawenforcement #guidance

University of Maryland Center for Health and Homeland Security helped shape Maryland's AI policies. The center provided research and guidance for the state's Artificial Intelligence Governance Act, signed into law in 2024. The law requires state agencies to inventory AI systems, mandates transparency, and prohibits AI use in high-risk scenarios. CHHS combines academic expertise with real-world consulting to bridge legal theory and practical implementation. Read more: https://lnkd.in/ePpghMKV 📰 Subscribe to the Daily AI Brief: https://lnkd.in/egYhx3tb #ai #artificialintelligence #ainews #airegulations

🏥🤖 **Questionnaire on the Use of AI in the Health Sector** 🔍💡 The **European Commission** is launching a **questionnaire** to gather opinions on the use of **artificial intelligence** in the health sector, as part of a study conducted by **DG SANTE**, in collaboration with **PriceWaterhouseCoopers EU Services EESV**, **Open Evidence**, and **EthikIA**. 📑 This questionnaire addresses recent European legislative acts, such as the **AI Act** and the **GDPR**, before delving into specific questions about the use of AI in the medical field. 🏥⚖️ 🧑⚕️ **Objectives of the questionnaire**: 1. **Evaluate the level of trust** users have in medical AI. 2. Explore the impacts of AI on public health and data protection. 📝 **Your opinion matters**! Click on the link to **participate** and contribute to shaping the future of AI in the health domain. 🩺🔗 🔗 [Access the questionnaire](https://lnkd.in/eGY-9T4S) #DigitalHealth #AI #PublicQuestionnaire #DGSANTE #MedicalTechnology #TrustInAI #GDPR #IAAct

What goes well with Thanksgiving leftovers? A riveting discussion on what health and life sciences companies should know about the latest in AI regulation, compliance, and data privacy! Settle in with your leftovers, and join me and my colleagues next week on December 4 for a webinar covering these updates and more. Jim Frederick Joy Sharp Simonne Brousseau Aliyah Price #artificialintelligence #ai #healthandlifesciences

💭 We need to talk about AI and Governance 💭 ⚠️ Understanding AI’s Limitations in Public Administration ⚠️ Asst.-Prof. Dr. Shefali Virkar from the WU (Vienna University of Economics and Business) delivered a thought-provoking session on the challenges of AI in governance. From data privacy and ethical constraints to decision making and citizen engagement, this session highlighted the complexity and importance of implementing AI responsibly. #publicservice #AI #governance #ReMeP2024

Tom Raggett, Rebecca Cosgriff, Mihaela van der Schaar and Junaid Bajwa discuss Responsible AI: Navigating the intersection of clinical data, ethics and public engagement. Perfect data does not exist, and is usually wrong so let’s stop curating data (MvdS). Data expertise and computing are essential skills for the future clinician. We need to be upskilled to be able to validate the tools that are coming to us (JB). Patient and public expect transparency from professionals in terms of using AI with NHS data (RC).