Ethics & Governance: Page

Examining Elon Musk’s xAI Lawsuit against OpenAI, Apple

While the lawsuit alleges anticompetitive practices and market monopolization, the case highlights the complexities of proving such claims.

By Esther Shittu • Aug. 26, 2025

Agentic AI compliance and regulation: What to know

Agentic AI's autonomous nature and its ability to access multiple data layers bring heightened risk. Learn how to ensure its deployment meets compliance standards.

By Mary Pratt • Aug. 26, 2025

Security risks in agentic AI systems and how to evaluate threats

Agentic AI changes workflows, boosts productivity and introduces new security risks. Learn what agentic AI can do and how to make this intelligent automation system secure.

By Nihad Hassan • Aug. 19, 2025

Vertical AI agents explained: The future of enterprise tech

The need for ever more AI expertise and performance has spawned vertical AI agents -- a new breed of autonomous agents purpose-built for specific industries. Learn how they work.

By Stephen Bigelow • Aug. 14, 2025

5 MCP security risks and mitigation strategies

MCP facilitates interactions between AI models and external services. But at what security cost?

By Marius Sandbu • Aug. 1, 2025

White House AI plan places scrutiny on state AI laws

While the White House wants to ensure U.S. companies can export AI products, it's considering new export controls for semiconductor manufacturing subsystems.

By Makenzie Holland • July 23, 2025

AI training, copyright issues headline U.S. Senate hearing

U.S. senators blasted companies, including Meta and Anthropic, for training AI models on copyrighted content, including pirated books and other materials.

By Makenzie Holland • July 16, 2025

8 agentic AI governance strategies: A complete guide

AI agents demand scrupulous data governance, such as permission policies and human oversight. This comprehensive guide can help organizations develop effective practices.

By Donald Farmer • July 14, 2025

Diverse data, ethical use key to responsible AI engineering

Karen Panetta's engineering journey led her to identify critical bias in facial recognition systems and champion transparent technology that protects human welfare.

By Esther Shittu , Shaun Sutner • July 1, 2025

Generative AI security risks: Best practices for enterprises

Despite its benefits, generative AI poses numerous -- and potentially costly -- security challenges for companies. Review possible threats and best practices to mitigate risks.

By Nihad Hassan • June 26, 2025

AI-generated deepfakes spread in Israel-Iran-U.S. conflict

Bad actors have used AI technology for more than a decade to spread misinformation and disinformation. However, the tools are getting more sophisticated and difficult to detect.

By Esther Shittu • June 24, 2025

AI legal battles: U.K. trial and new U.S. lawsuit unfold

Getty Images fights Stability AI over copyright infringement in the U.K. courts, while Reddit sues Anthropic for contract breach over unauthorized data scraping for AI training.

By Esther Shittu • June 10, 2025

AI and humans will work together in the future

There are contrasting perspectives on AI and jobs. For Asana, however, AI technology will enhance workers and be a collaborator.

By Esther Shittu , Shaun Sutner • May 20, 2025

AI copyright suits to be affected by Copyright Office stance

Federal report findings could weaken GenAI vendors' fair use positions in copyright suits.

By Makenzie Holland • May 13, 2025

Address top AI privacy concerns with this 7-point checklist

AI systems raise complex privacy and security issues. Use this practical checklist to protect sensitive data and stay compliant.

By Nihad Hassan • May 7, 2025

Why does AI hallucinate, and can we prevent it?

Despite their sophistication, LLMs still often produce inaccurate or misleading output. Will these hallucinations ever go away for good?

By Chris Tozzi • May 5, 2025

The AI market does not understand AI safety

Responsible AI is often misunderstood as a way to make sure that a model is safe. However, AI safety examines whether harmful content is being produced or not.

By Esther Shittu , Shaun Sutner • April 22, 2025

AI companies claim existing rules can govern agentic AI

AI agents are trained to perform tasks autonomously. Vendors including Meta, OpenAI and others offer platforms for businesses to build their own AI agents.

By Makenzie Holland • April 17, 2025

How to audit AI systems for transparency and compliance

AI audits help businesses ensure functionality, transparency and compliance when deploying AI systems. Learn how to conduct audits to build trust and meet regulatory requirements.

By Kashyap Kompella • April 10, 2025

Policymakers weigh U.S.-China AI competition after DeepSeek

Boosting federal R&D, sustaining export controls and creating a federal AI framework are a few suggestions experts made to help maintain the U.S. lead in AI.

By Makenzie Holland • April 8, 2025

Anthropic’s early lawsuit win pushes courts forward on fair use

The judge's ruling shows the complexity of bringing a lawsuit against model providers and the need for clarity on fair use in the age of generative AI.

By Esther Shittu • March 28, 2025

Advantages and disadvantages of AI explained

Is AI good or bad? AI will benefit society, according to experts, but only with the correct guidelines in place and a solid understanding of what AI systems can and cannot do.

By Mary Pratt • March 27, 2025

Google, OpenAI target state laws in AI action plan

The federal government is developing plans for AI policy in the U.S. Stakeholders want a federal policy preempting state laws as a top strategic priority.

By Makenzie Holland • March 21, 2025

Does using DeepSeek create security risks?

The Chinese AI chatbot, despite its efficiency and customizability, raises serious concerns about data privacy, censorship and security vulnerabilities for business users.

By Nihad Hassan • March 21, 2025

Data quality in AI: 9 common issues and best practices

Building a useful, reliable AI system requires trustworthy, well-managed data. Here's how to find and fix data issues that can drag down AI projects.

By Kathleen Walch, Lev Craig • March 18, 2025