Compliance Tip Of the Day: Using AI to Transform Whistleblower Response
JONES DAY TALKS®: Women in IP – AI and Copyright Law Need-to-Knows
The FinReg Frontier: AI and Machine Learning in Consumer Finance — The Consumer Finance Podcast
Key Discovery Points: AI Says AI Will Replace Paralegals… But Not So Fast!
Compliance and AI: Ali Khan on Implementing AI Risk Management Systems
Key Discovery Points: Get Your Copy of the 2025 eDiscovery State of the Industry Report
Approach to Responsible AI
AI and Compliance
Bridging the Gap: How CivicReach is Revolutionizing Government Customer Service
Episode 358 - Ethics and Compliance Trends for 2025: Is Your Company Prepared?
Consumer Finance Monitor Podcast Episode: The Patterns of Digital Deception
No Password Required Podcast: Senior Security Researcher at Nokia and Guardian of Secure AI Networks
Episode 354 -- The New Era of Compliance: Generative AI, Data and Innovation
The Growing Role of State AGs in AI Regulatory & Enforcement Issues — The Good Bot Podcast
Crafting an Effective Law Firm Generative AI Policy for Responsible Business Use: On Record PR
The Privacy Insider Podcast Episode 9: I Think, Therefore I Am: AI, Ethics, & Humanity With Dr. Michael Hemenway
AI Post-Election – Initial Government Insights
Can You Copyright AI-Generated Content? - On Record PR
How Attorneys’ Views on AI Are Impacting eDiscovery
From Innovation to Implementation: The Ethics of Generative AI in Law Firms - On Record PR
U.S. Senate Artificial Intelligence Caucus co-chairs Mike Rounds (R-SD) and Martin Heinrich (D-NM) recently introduced S. 1399, the “Health Tech Investment Act,” which would establish a Medicare reimbursement pathway for...more
Artificial intelligence has become one of the most transformative forces in health care, reshaping everything from drug discovery to diagnostics. For pharmaceutical and medical device companies, AI-driven solutions present...more
Researchers from the National Institutes of Health (NIH) have developed an algorithm that harnesses AI to help accelerate the process of matching potential volunteers for relevant clinical research trials. The algorithm,...more
Welcome to Vital Signs, a curated compilation of the latest legal and regulatory developments in digital health. Our lead article reports on recent developments in the U.S. Food and Drug Administration's ("FDA") regulatory...more
n March 15, the U.S. Food and Drug Administration (FDA) published a paper titled “Artificial Intelligence and Medical Products: How CBER, CDER, CDRH, and OCP are Working Together.” This paper describes the FDA’s strategy for...more
We have been writing about software as a medical device (SaMD) for years, tracking the Food and Drug Administration's (FDA) efforts to keep up with the fast-paced development of digital technology, such as launching the...more
This post explores how bias can creep into word embeddings like word2vec, and I thought it might make it more fun (for me, at least) if I analyze a model trained on what you, my readers (all three of you), might have written....more
Would it surprise you if I told you that a popular and well-respected machine learning algorithm developed to predict the onset of sepsis has shown some evidence of racial bias? How can that be, you might ask, for an...more
On April 3, 2023, FDA released the draft guidance titled “Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence/Machine Learning (AI/ML)-Enabled Device Software Functions”...more
Connected medical devices are used to assist with diagnosing, monitoring or treating a medical condition and thereby facilitate the remote management of a medical condition by healthcare professionals. Such medical devices...more
The use of artificial intelligence (AI) in healthcare has been growing rapidly in recent years, and AI-enabled medical devices are playing a larger role in patient care. Such devices may use machine learning algorithms to...more
First mentioned in a 2019 discussion paper entitled “Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD),” the idea of a defined set of...more
As artificial intelligence technology evolves on a seemingly minute-by-minute basis, the U.S. FDA’s regulatory approach continues to evolve in an effort to keep pace. “The promise of artificial intelligence in medicine is...more
Artificial intelligence (AI) is expanding into more industries (often in surprising ways) and has inevitably caught the attention of federal and state regulators. Our Privacy, Cyber & Data Strategy Team summarizes the...more
In the weeks leading up to FDA’s October 14, 2021 Transparency of AI/ML Enabled Medical Devices Workshop (Workshop), we took a brief look at the history of FDA’s regulation of medical device software and the agency’s more...more
In our last post, we took a brief look back through history at FDA’s approach to regulating medical device software and found that there is little distinction from the agency’s approach to hardware devices. Recently,...more
As we mentioned in the early days of the pandemic, COVID-19 has been accompanied by a rise in cyberattacks worldwide. At the same time, the global response to the pandemic has accelerated interest in the collection, analysis,...more
Researchers from the University of Washington have developed a system that uses smart speakers and machine learning algorithms to monitor heartbeats without the need for physical contact. The system was described in a study...more
U.S. Food and Drug Administration (FDA) has acknowledged the prevalence of Artificial Intelligence/Machine Learning (AI/ML)-Based Software as Medical Devices (SaMDs) and has been taking steps towards advancing its regulatory...more
The US Food and Drug Administration (FDA) published an Action Plan for artificial intelligence (AI) and machine learning (ML) software on January 12, 2021 that provides near-term actions to develop a regulatory framework for...more
In April 2019, the US Food and Drug Administration (FDA) issued a white paper, “Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device,”...more
In April of this year, the US Food and Drug Administration (FDA) released a discussion paper, Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML) – Based Software as a Medical...more
In the shadow of the FDA’s new Proposed Regulatory Framework for Modifications to AI/ML-Based Software as a Medical Device, manufacturers are left to contemplate enhanced product liability exposure. AI-powered devices ingest...more