Introducing Promise to Map: A Framework for Trustworthy Healthcare AI

Now Available On-Demand: #AI in #HealthcareCybersecurity: Responsible Adoption Without the Hype For healthcare organizations, AI is both a powerful defense tool and a potential vulnerability. If you missed our recent webinar, it’s now available on-demand. You’ll hear about: - How AI strengthens defenses while introducing new compliance risks - Real-world examples across different phases of AI adoption - A practical framework to assess and implement AI without compromising patient safety https://hubs.li/Q03RQMtj0

Now Available On-Demand: #AI in #HealthcareCybersecurity: Responsible Adoption Without the Hype For healthcare organizations, AI is both a powerful defense tool and a potential vulnerability. If you missed our recent webinar, it’s now available on-demand. You’ll hear about: - How AI strengthens defenses while introducing new compliance risks - Real-world examples across different phases of AI adoption - A practical framework to assess and implement AI without compromising patient safety https://hubs.li/Q03RQMGy0

Responsible AI Adoption in Healthcare The Joint Commission (TJC) and Coalition for Health AI (CHAI) released national guidance to promote the safe, ethical, and practical use of artificial intelligence across healthcare systems. The Responsible Use of AI in Healthcare (RUAIH) framework highlights 7 elements for implementation: 1️⃣ AI Policies & Governance Structures 2️⃣ Patient Privacy & Transparency 3️⃣ Data Security & Use Protections 4️⃣ Ongoing Quality Monitoring 5️⃣ Voluntary Reporting of AI Safety Events 6️⃣ Risk & Bias Assessment 7️⃣ Education & Training This collaborative effort aligns innovation with governance to advance responsible AI. #HealthcareLeadership #Governance #AI #AIinHealthcare #DigitalTransformation #ResponsibleAI https://lnkd.in/g-CTuaP6

Last week, Nardello & Co.’s Joseph Pochron and Karsten Wilkinson presented at the Techno Security & Digital Forensics Conference about fraud detection and adding open-source AI detection to your digital forensics and incident response toolkit. Here’s a recap of what they discussed:   - 78% of organizations use AI in at least one function of their business - The four deepfake detection options: algorithmic or model-based detection; forensic analysis; content authentication; and human-in-the-loop -  The pros and cons of leveraging open-source deepfake detection tools on platforms such as HuggingFace - The steps of deepfake detection implementation and how to utilize the results - Current issues in the AI detection landscape, such as watermarking, training limitations, and convergence of LLMs   Want to learn more? Reach out to Joseph Pochron, Karsten Wilkinson, or read the resources available here: https://lnkd.in/ey7mNHcu #AI #LLM #Deepfake #HuggingFace #CyberDefense #Investigations

AI in care often raises questions about privacy. But here’s what you need to know: With tools like CareSpace, sensitive data is automatically redacted, keeping patient and resident information secure while supporting compliance with CQC-regulated care standards. Discover how your team can safely harness AI to save time and protect sensitive information. Learn more at www.care-space.co.uk and follow CareSpace for more insights. #CareSpace #UKHealthcare #SocialCareUK #HealthcareIndustry #DigitalTransformation #HealthAndSocialCareUK #AI

82% of IT #Security pros agree that AI will improve their job efficiency. Many are handing off repetitive tasks like user-behavior analysis and traffic monitoring. See the benefits of AI in healthcare. https://dy.si/jaga9r

Understand how to choose the best AI-powered medical record review platform for accurate, defensible chronologies and clinician-quality summaries. Learn what features to look for, security checkpoints (BAA, HIPAA), and why a hybrid AI + human review is often the best option. https://lnkd.in/gcEX5xKj #AIMedicalRecordReview #MedicalReviewServices

How should we navigate the growing role of AI in preprint peer review? In #OAW2025, we highlight insights from the webinar talk of Dr. Jonny Coates, Executive Director and Founder of Rippling Ideas. Dr. Coates proposed 5 guiding principles for responsible AI use: Transparency, Human Oversight, Security & Confidentiality, Quality & Integrity, and Ethical & Unbiased Review. He also outlined 5 key implementation ways to put these principles into action. Hear Dr. Coates' full perspective: https://brnw.ch/21wWPgV #Preprints #OpenScience #Webinar #OAWeek

Our #withum new white paper provides a concise overview of the core #AI #security risks organizations face today, with practical recommendations tailored to small, mid-market and enterprise environments. Learn how to: - Identify and mitigate common AI risk vectors  - Establish governance for responsible AI use  - Manage the growing impact of shadow AI in your workforce  - Build a framework for secure and ethical adoption Whether you’re developing new AI capabilities or exploring early use cases, this resource helps leaders make informed decisions that balance innovation with protection. https://lnkd.in/gQSJbzmR

AI is changing security. But are we even speaking the same language? The new Glossary of AI Terms in Security Solutions from SIA is a must-read. Clear definitions. Real use cases. At SiteOwl, we believe clarity drives better decisions — whether you're managing devices or deploying AI. Grab the glossary: https://lnkd.in/eJVUQxBy