Campaigners criticize the government for delaying legislation against creating non-consensual sexualized deepfakes, amid public backlash over Elon Musk’s AI Grok generating harmful images.
A new federal executive order seeks to halt state and local regulation of artificial intelligence, arguing that fragmented laws could undermine U.S. competitiveness. It establishes a framework for a uniform national AI policy and directs federal agencies to limit conflicting state laws.
New Texas AI legislation, the Texas Responsible Artificial Intelligence Governance Act (TRAIGA), will take effect on January 1, 2026, aiming to regulate AI systems to prevent issues like discrimination and illegal content. Chris Schwegmann discusses how AI can enhance legal practice efficiency while ensuring ethical deployment.
With over 70 countries drafting AI regulations, global organizations face a complex and varied compliance landscape. Effective AI risk management requires strategic mapping of regulatory footprints, understanding key jurisdictional differences, and treating AI governance as an adaptive, ongoing process.
The surge in non-human identities (NHIs) and AI adoption is challenging identity security efforts, with organizations managing significantly more machine than human identities. As companies consolidate platforms for better management, security teams must adapt to growing complexity and risks.
The global Model Validation Platform Market is projected to grow from USD 1.84 billion in 2025 to USD 6.50 billion by 2033. Growth is driven by AI adoption and regulatory compliance in sectors like banking, healthcare, and telecom, with automated validation technologies enabling greater transparency and risk mitigation.
As organizations adopt AI in third-party risk management (TPRM), many lack the structured foundations and data governance necessary for success. Achieving AI readiness requires a disciplined, modular approach that balances innovation with accountability to enhance oversight effectively.
Artificial intelligence is reshaping our perceptions of truth and creativity, prompting important discussions about ethics, accountability, and technology’s future. From Chat GPT’s transformative capabilities to the ethical challenges posed by deepfakes, understanding AI’s benefits and risks is essential as it increasingly integrates into daily life.
DTCC’s 2026 systemic risk survey highlights geopolitical risks and trade tensions as the top threats to global finance, followed by cyber risks and concerns over a potential US economic slowdown. Rising unease about AI and fintech vulnerabilities, particularly regarding cybersecurity and governance, also emerged as significant concerns.
Leidos highlights the vital role of ethical AI in behavioral health, emphasizing responsible innovation to ensure patient safety and enhance outcomes. By embedding strong safeguards, Leidos strives to support clinicians and foster trust in healthcare.
