The IPA has introduced a voluntary guide for UK advertising practitioners to promote the responsible use of generative AI. It outlines eight key principles to navigate AI opportunities while mitigating risks, ensuring transparency, fairness, and environmental stewardship to foster consumer trust and ethical standards.
Artificial intelligence is revolutionizing cybersecurity by enhancing defenses and increasing business resilience against evolving threats. However, the rapid adoption of AI also introduces significant vulnerabilities, necessitating robust governance frameworks for secure deployment.
The India AI Impact Summit 2026, held from February 16–20 in New Delhi, marks a significant step in global AI governance by shifting the focus toward development, equity, and sustainability. With participation from over 110 countries, the summit aims to prioritize access and inclusion, especially for emerging economies.
As scientific research accelerates through autonomous AI labs, rapid medical advancements come with significant risks, including the creation of harmful substances. Without proper regulation and safeguards, these technologies could lead to catastrophic outcomes if misused.
HaystackID has launched AI Governance Services to help organizations establish responsible AI oversight and ensure compliance with evolving regulations such as the EU AI Act and state laws in the U.S.
Experts at the India AI Impact Summit emphasized the urgent need for child-specific safeguards within India’s AI policy. They called for governance frameworks focusing on child wellbeing that address the unique risks and benefits AI technologies pose for children.
Experts warn that AI-powered voice agents used by lenders could inadvertently violate the Telephone Consumer Protection Act (TCPA) by failing to secure proper consumer consent. With hefty penalties for non-compliance, companies must enhance their compliance measures to prevent unlawful contact with consumers.
Sumsub has launched “Summy,” the first platform-native AI Copilot tailored for compliance and fraud teams. It delivers actionable insights from complex data within existing workflows, enhancing decision-making efficiency while keeping human oversight central.
Activist investors are increasingly evaluating how boards use AI, focusing on fiduciary effectiveness rather than just efficiency. As AI tools become integral to decision-making, boards face scrutiny and potential legal risks for neglecting these technologies.
An investigation revealed that an AI tool used by a major insurer denied over 300,000 claims in two months, often without patients knowing if a physician reviewed their cases. This raises critical governance questions about accountability and patient rights when AI influences healthcare decisions.
