Google to punish sites that trap people in with back button tricks
The tech giant said it will punish sites that block back button navigation from June.
Stay informed on AI governance, compliance, and regulation news. Curated updates on AI ethics, policy, and enforcement from trusted sources. Updated .
Monitoring 6533+ articles from 21+ trusted sources including MIT Technology Review, TechCrunch, The Verge, and AI News in 2026.
Randy New is the founder and editor of AI Governance Watch. He is a FinTech executive with over 30 years of experience in infrastructure, cybersecurity, M&A integration, and regulatory compliance. Randy specializes in cybersecurity intelligence and AI governance.
Randy also publishes Cyber Security Wire and Human vs AI. Learn more about AI Governance Watch and its mission.
AI Governance Watch is a curated news platform that aggregates AI governance, compliance, and regulation news from over 21 trusted sources. It helps professionals track AI policy developments worldwide.
Sources include MIT Technology Review, TechCrunch, The Verge, and specialized AI policy publications. As of 2026, the platform has aggregated 6533+ articles across six categories.
Articles are automatically categorized into six areas: regulation, policy, ethics, compliance, enforcement, and general AI news. Each category focuses on a specific aspect of AI governance.
Recently curated articles on AI regulation, policy, and compliance:
The tech giant said it will punish sites that block back button navigation from June.
An analysis by WIRED and Indicator found nearly 90 schools and 600 students around the world impacted by AI-generated deepfake nude images—and the problem shows no signs of going away.
<h4>Google sibling takes on the Big Smoke – with a human hand on the wheel</h4> <p>Waymo has started letting its software take the wheel on London streets, with trained specialists on standby as it gradually accelerates toward a fully driverless ride-hailing launch.…</p>
<h4>Researchers who found the flaws scored beer money bounties and warn the problem is probably pervasive</h4> <p><strong>Exclusive</strong> Security researchers hijacked three popular AI agents that integrate with GitHub Actions by using a new type of prompt injection attack to steal API keys and access tokens, and the vendors who run agents didn’t disclose the problem.…</p>
Companies on the front lines of AI adoption are also hiring and laying off more employees on average than those that aren't, Gallup found.
The practice of privacy-led user experience (UX) is a design philosophy that treats transparency around data collection and usage as an integral part of the customer relationship. An undertapped opportunity in digital marketing, privacy-led UX treats user consent not as a tick-box compliance exercise, but rather as the first overture in an ongoing customer relationship.…
<h4>Analysts reckon 70 percent of projects will fail, and 75 percent of vendors in the field will go away</h4> <p>Most mainframe users who turn to AI for help migrating legacy code to alternative platforms are going to be very disappointed, according to analyst firm Gartner.…</p> <p><!--#include virtual='/data_centre/_whitepaper_textlinks_top.html' --></p>
One investor who has backed both companies told the FT that justifying OpenAI's recent round required assuming an IPO valuation of $1.2 trillion or more — making Anthropic's current $380 billion valuation look like the relative bargain.
There's an easy way to curb ads and marketing emails in your inbox you've probably never thought of.
Data removal services automate the removal of your information from the web, but their biggest benefit is something else.
Sony's latest turntable is an easy-to-setup upgrade with impressive sound, but a few concerns hold it back.
<h4>Plus Anthropic has redesigned its Claude app</h4> <p>Anthropic has made it easier to automate Claude-oriented tasks without relying on autonomous agent software.…</p>
Although access to Mythos is limited, the risk of it falling into the wrong hands is high, necessitating urgent action by organizations to protect themselves.
As AI becomes more widespread across government agencies, utilization must shift from general adoption to smart, intentional uses.
<h4>The company's new software keeps an eye on your agents and backs up data.</h4> <p>Keep your agents close and your agent-monitoring software closer. Commvault’s new AI Protect can discover and monitor AI agents running inside AWS, Azure, and GCP environments and even roll back their actions when something goes wrong.…</p>
GSA is nearly halfway to its goal, and began this work internally. But its deputy administrator said the project could expand outside GSA if deemed successful.
A private Jesuit university in California is developing a new AI center to advance research in areas such as health care and medical imaging, information access, intelligent robotics and human-computer interaction.
As the ‘meme war’ between the US and Iran continues via AI ‘slopaganda,’ an Iran-linked group named Explosive Media has been pumping out viral LEGO-style videos ridiculing the US war effort in Iran, and trolling President Donald Trump. Many of these videos depict Trump as childish and fickle, accuse him of having started the war to distract from his ties to Jeff Epstein, and have gained an audience of hundreds of millions online.
Houston Independent School District will expand its pilot of AI-focused "Future 2" schools from two to six this fall, and an internal email suggested the program may eventually reach 100 schools.
Google Home's latest update should make your Gemini experience more reliable. Look for these other improvements and bug fixes too.
AI governance is the set of rules, policies, and frameworks that ensure artificial intelligence is developed and used responsibly. It covers ethical guidelines, compliance standards, and oversight mechanisms to keep AI safe, fair, and accountable.
The EU AI Act requires businesses to classify their AI systems by risk level and meet specific obligations. High-risk systems need conformity assessments, technical documentation, and human oversight. Non-compliance can result in fines up to €35 million or 7% of global turnover.
The NIST AI RMF is a voluntary U.S. framework that helps organizations identify, assess, and mitigate AI-related risks. It is built around four core functions: Govern, Map, Measure, and Manage.
AI compliance is critical because governments worldwide are actively enforcing AI regulations. The EU AI Act carries heavy fines, the U.S. has expanded federal AI oversight, and countries like Canada, Brazil, and China have enacted AI-specific laws. Non-compliance risks penalties, reputational harm, and operational disruption.
The key AI ethics principles are fairness, transparency, accountability, privacy, safety, human oversight, and inclusiveness. These principles are reflected in major frameworks including the OECD AI Principles and the EU Ethics Guidelines for Trustworthy AI.
Organizations implement AI risk management by creating governance structures, running impact assessments, testing for bias, monitoring model performance, and documenting decisions. The NIST AI RMF and ISO/IEC 42001 provide standardized approaches for this process.
Major AI regulations include the EU AI Act, U.S. Executive Orders on AI Safety, Canada's AIDA, South Korea's AI Basic Act, China's Generative AI rules, Brazil's AI framework, and Japan's AI guidelines. Over 60 countries have enacted or proposed AI-specific regulations.
An AI impact assessment is a structured evaluation of how an AI system may affect individuals and society. It examines risks such as bias, privacy violations, and safety concerns. The EU AI Act requires mandatory impact assessments for all high-risk AI systems.
ISO/IEC 42001 is the international standard for AI management systems. It provides a certification framework that helps organizations establish, implement, and improve their AI governance practices in a structured and auditable way.
The AI Bill of Rights is a White House blueprint outlining five principles to protect Americans from AI harms: safe and effective systems, freedom from algorithmic discrimination, data privacy, notice and explanation, and human alternatives and fallback options.
AI Governance Watch aggregates news from over 21 trusted sources including MIT Technology Review, TechCrunch, and The Verge. Articles are automatically categorized into topics like regulation, policy, ethics, compliance, and enforcement to help professionals track AI governance developments.
Algorithmic bias occurs when an AI system produces systematically unfair outcomes due to flawed data or design assumptions. It can lead to discrimination based on race, gender, or other protected characteristics. Detecting and mitigating bias is a core requirement of most AI governance frameworks.
The key AI governance frameworks are the EU AI Act, NIST AI RMF, OECD AI Principles, ISO/IEC 42001, the AI Bill of Rights, and Canada's AIDA. These frameworks set rules for AI risk management, compliance, and ethical use.
| Framework | Region | Status | Focus |
|---|---|---|---|
| EU AI Act | European Union | In Force | Risk-based AI regulation with tiered requirements |
| NIST AI RMF | United States | Active | Voluntary risk management framework (Govern, Map, Measure, Manage) |
| OECD AI Principles | International | Active | International guidelines for trustworthy AI |
| ISO/IEC 42001 | International | Published | AI management system certification standard |
| AI Bill of Rights | United States | Published | Blueprint for protecting civil rights in AI era |
| Canada AIDA | Canada | In Progress | Artificial Intelligence and Data Act |
According to Stanford HAI's AI Index Report, over 60 countries have enacted or proposed AI-specific regulations as of 2026. The trend is toward mandatory compliance requirements rather than voluntary guidelines.
AI Governance Watch was founded by Randy New, a FinTech executive with over 30 years of leadership in infrastructure, cybersecurity, M&A integration, and regulatory compliance. Randy operates at the intersection of financial technology and emerging risk disciplines, with a particular focus on cybersecurity intelligence and AI governance.
Randy New also publishes Cyber Security Wire (cybersecurities.pro) and Human vs AI (humanvsai.tech). AI Governance Watch curates and aggregates AI governance news from authoritative sources including MIT Technology Review, TechCrunch, The Verge, and specialized AI policy publications.
For more information, visit our contact page or subscribe to our newsletter for daily or weekly updates.
"AI technologies can provide substantial benefits, but also pose risks. A responsible approach to AI requires both innovation and guardrails."
"AI actors should respect the rule of law, human rights, democratic values, and diversity, and should implement appropriate safeguards to ensure a fair and just society."
"Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public."
"Artificial intelligence should be a tool for people and be a force for good in society, with the ultimate aim of increasing human well-being."
"The number of AI-related regulations has increased sharply in recent years. In 2023 alone, there were 25 AI-related regulations enacted in the U.S., a significant increase from just one in 2016."
"AI systems must not be used for social scoring or mass surveillance purposes. Member States should ensure that AI systems do not undermine human dignity."