Ethics & Governance: Page

Key guardrails to defend against rogue AI agents

AI agents go rogue for many reasons. Businesses must establish defense mechanisms and guardrails that counter the potential damage from an agent's rogue actions.

By Nihad Hassan • Sept. 11, 2026

Prompt: AI governance enters its verification phase

California's new AI auditing laws point to a shift from companies making their own safety claims to proving those claims in independent review.

By Liz Hughes • Sept. 11, 2026

What businesses really need from an AI off switch

Turning off an AI feature doesn't necessarily stop AI processing. Businesses need meaningful controls over AI features, data access, third parties and software updates.

By Kinza Yasar • Sept. 3, 2026

When AI agents go rogue: What enterprise leaders need to know

A recent wave of AI agents breaching test sandboxes and outside company systems is raising new governance and security questions for enterprise IT leaders deploying autonomous AI.

By Kinza Yasar • Aug. 27, 2026

Beyond discovery: The real shadow AI challenge

IT teams can now identify shadow AI tools, but remediation doesn't scale. Managing hundreds of niche AI tools requires faster approvals and distributed governance.

By John Frechette and Suzannah Hicks • Aug. 25, 2026

Why businesses need an AI agent kill switch

Executives must understand the importance of AI safety to prevent reputational, financial and operational damage. Here's why an AI kill switch is the safety measure they need.

By Stephen Bigelow • Aug. 19, 2026

The hybrid future of enterprise AI sovereignty

With increasingly defined regulations to comply with and political tensions growing, business leaders are adopting AI sovereignty practices to weather the storm.

By Olivia Wisbey • Aug. 17, 2026

HAL 9000 was right: AI guardrails matter more than perfect models

2001: A Space Odyssey's HAL killed its crew because no one told it humans mattered more than the mission. Today's AI needs that lesson: guardrails over goals, boundaries over logic.

By Stephen Bigelow • Aug. 12, 2026

AI Kill Switch Act: What it means for enterprise leaders

The proposed bill could apply to much more than just frontier model makers and might signal stricter regulatory restrictions for enterprise leaders to contend with.

By Chris Tozzi • Aug. 5, 2026

AI open letters shift from warnings to push for business action

A recent statement signed by more than 200 economists and AI experts signals a shift from abstract warnings to actionable concerns about workplace transformation and readiness.

By John Moore • Aug. 5, 2026

Why AI governance and data privacy must be integrated

Connecting AI to sensitive data forces enterprises to face a hard question: Where are the privacy gaps that could expose us to legal, financial and reputational harm?

By Tom Walat, Kashyap Kompella • June 18, 2026

AI existential risk: Is AI a threat to humanity?

What should enterprises make of the recent warnings about AI's threat to humanity? AI experts and ethicists offer opinions and practical advice for managing AI risk.

By George Lawton • May 11, 2026

Generative AI ethics: 16 biggest concerns and risks

As adoption and use cases grow, generative AI is upending business models and driving ethical issues such as misinformation, brand integrity and job displacement to the forefront.

By George Lawton • May 7, 2026

Build an ethical AI framework: 12 top resources

IEEE Global Initiative, World Economic Forum and Stanford Institute are among the best resources available to businesses building a viable ethical AI foundation for responsible AI.

By George Lawton • April 23, 2026

Global AI legislation and regulation tracker

With AI, it's better to be proactive, not reactive. This tracker compiles the major AI legislation, laws and frameworks across the U.S., Europe, Asia and beyond.

By Jennifer English • Feb. 18, 2026

How to ensure AI transparency, explainability and trust

Transparency, explainability and trust are critical for enterprise AI. Learn how organizations can embed these principles to build accountable, ethical and reliable systems.

By Kinza Yasar • Jan. 30, 2026

Leading AI with ethics: The new governance mandate

Ethical AI governance is now a boardroom priority, enabling organizations to curb bias, ensure accountability and build trust as a strategic advantage.

By Kinza Yasar • Jan. 28, 2026

Building governance for machine speed: The path to trusted AI autonomy

Governance systems need to match the speed of the AI agents they govern with real-time monitoring and dynamic enforcement. That's how companies balance autonomy and accountability.

By Stephen Catanzano • Jan. 27, 2026

AI governance can make or break data monetization

As pressures mount for businesses to get the most value from their data, AI governance ensures the data to be monetized is secure, protected, trustworthy and used responsibly.

By Stephen Bigelow • Jan. 15, 2026

AI regulation: What businesses need to know in 2026

Numerous local, regional and national AI regulations can help businesses govern AI, foster innovation and mitigate potential risks -- as long as their differences are understood.

By Stephen Bigelow • Jan. 5, 2026

Strategies to reduce machine learning bias

Machine learning bias can distort predictions and harm trust. This guide explains types of bias, real-world cases and seven effective strategies to ensure fairness in ML models.

By Ron Schmelzer, Kinza Yasar, Nick Barney • Dec. 2, 2025

Top 4 AI chatbot privacy concerns and how to mitigate them

Do you know how your AI chatbot is storing your data, and who they are sharing it with? Discover mitigation strategies to prevent your chatbots from revealing sensitive data.

By Nihad Hassan • Nov. 13, 2025

Managing trust in the age of AI influence

Can AI technology foster trust and serve the common good, or will algorithms shape humanity's future for the worse? Experts at EmTech MIT wrestled with the nuances.

By Olivia Wisbey • Nov. 7, 2025

Ethical considerations of agentic AI and how to navigate them

Beyond the risks associated with traditional AI, agentic AI poses specific ethical concerns, including diminished human oversight, privacy erosion and misaligned outcomes.

By George Lawton • Sept. 30, 2025

AI’s impact on Google search engine antitrust ruling

While some believe the ruling was too light, it does emphasize the role of GenAI vendors as competitors in the market.

By Esther Shittu • Sept. 4, 2025