The US Food and Drug Administration (FDA) recently issued its draft guidance, Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations on January 7, 2025....more
1/16/2025
/ Artificial Intelligence ,
Cybersecurity ,
Data Privacy ,
Draft Guidance ,
Food and Drug Administration (FDA) ,
Healthcare ,
Machine Learning ,
Medical Devices ,
Regulatory Requirements ,
Risk Management ,
Software ,
Transparency
Artificial intelligence (AI) technology is advancing at an unprecedented rate, increasing in complexity while driving significant innovation across sectors. In response to the rapid development of AI, myriad compliance...more
11/6/2024
/ Algorithms ,
Artificial Intelligence ,
Automation Systems ,
Compliance ,
Corporate Governance ,
Cybersecurity ,
Data Security ,
Innovative Technology ,
Legislative Agendas ,
Machine Learning ,
Regulatory Agenda ,
Regulatory Reform ,
Risk Assessment ,
Risk Management ,
Technology Sector
New directives would have implications across a range of federal agencies - On October 24, 2024, the White House released the “first-ever” National Security Memorandum (NSM) on artificial intelligence (AI). The NSM directs...more
More than ever, artificial intelligence (AI) is being implemented as a powerful tool to improve our lives and businesses. But with its benefits comes a host of risks – and regulators are homing in on its use as a tool for...more
10/15/2024
/ Artificial Intelligence ,
Bribery ,
Chief Compliance Officers ,
Compliance ,
Corporate Crimes ,
Cyber Threats ,
Cybersecurity ,
Data Protection ,
Department of Justice (DOJ) ,
Enforcement Priorities ,
Fraud ,
Machine Learning ,
Price-Fixing ,
Regulatory Oversight ,
Risk Management
On September 9, 2024, China’s National Technical Committee 260 on Cybersecurity released the first version of its AI Safety Governance Framework (the Framework), which was formulated to implement the Global AI Governance...more
9/13/2024
/ Artificial Intelligence ,
China ,
Cybersecurity ,
Data Collection ,
Ethics ,
Innovative Technology ,
Machine Learning ,
Regulatory Oversight ,
Risk Assessment ,
Risk Mitigation ,
Technology Sector ,
Transparency