Mayer Brown’s webinar will address the Trump Administration’s new national security restrictions on AI exports, highlighting the importance of due diligence for companies using advanced AI commodities. Participants will learn about compliance best practices and the implications for their operations in the AI industry.
A new U.S. bill, dubbed “Big Beautiful Bill,” would prevent state-level AI regulation for a decade, potentially granting Big Tech unchecked power. Critics argue that this could harm innovation, transparency, and public trust while isolating the U.S. from global AI standards.
A global study reveals that while 66% of people use AI regularly, only 46% are willing to trust it, highlighting a significant gap in AI literacy and governance. The findings indicate a public demand for better regulation and responsible use of AI technologies to address concerns about its risks and benefits.
The Alliance for a Safe Community has called for a comprehensive ethical framework to govern the use of artificial intelligence (AI), emphasizing the need for collaboration among policymakers, tech leaders, and civil society. They propose a five-pronged regulatory framework that includes AI accountability laws and the development of a Code of Ethics and Integrity for AI technology.
The article discusses the significant challenges that companies face regarding regulatory compliance in the context of AI adoption, particularly in Europe. It highlights issues such as the difficulty of interpreting regulations, risk avoidance, and the need for human oversight, which can slow down innovation and hinder the deployment of AI solutions.
In a recent interview, Aaron McCray, Field CISO at CDW, discusses the evolving role of CISOs as they transition from tactical cybersecurity guardians to strategic enterprise risk advisors in the age of AI. He emphasizes the importance of governance frameworks and transparency in deploying AI-driven security tools to address challenges such as false positives and integration with existing systems.
This post discusses the legal accountability surrounding AI-generated deepfakes, particularly in the context of election misinformation. It highlights recent incidents where deepfakes have been used to manipulate public perception during elections and explores the existing legal frameworks addressing these challenges.
Responsible AI (RAI) is the practice of designing and deploying machine learning systems ethically, ensuring they do no harm and respect human rights. As AI technologies increasingly shape our lives, incorporating RAI principles is essential to building trust and accountability in these systems.
Responsible AI is not just about the technology itself but also about the social decisions that shape its development and deployment. It reflects our values and power structures, making it crucial to address biases and ensure equity in its use.
In 2025, the adoption of Generative AI is significantly transforming privacy, governance, and compliance frameworks across various industries. As AI governance matures, organizations are increasingly integrating these frameworks into their existing operations to navigate the complex regulatory landscape.
