Back to News

9 things you shouldn't use AI for at work

ZDNet - Artificial Intelligence
Aug 1, 2025 12:18
1 views
aibusinessenterprisetechnology

Summary

The article highlights nine areas where using AI at work can be risky, such as providing legal advice or handling sensitive customer interactions, due to potential inaccuracies and ethical concerns. It underscores the importance of setting clear boundaries for AI deployment to prevent operational disruptions and maintain trust. This reflects a growing need for responsible AI integration in the workplace.

AI can boost productivity, but it can also derail your entire operation. From fake legal advice to customer service nightmares, here are nine places AI doesn't belong at work.
Read Full ArticleMore News

Related Articles

Show HN: AI-powered outfit analysis with detailed fashion scoring

Hacker News - AIAug 2

utfitScore is an AI-powered platform that uses computer vision to analyze outfit photos, offering detailed fashion scoring and personalized style recommendations. By providing instant feedback on aspects like color harmony and fit, it enables data-driven wardrobe decisions for users. This application highlights the expanding role of AI in personal style and consumer fashion, demonstrating strong early engagement with its freemium model.

I don't want AI writing creative content, but what about docs?

Hacker News - AIAug 2

The article discusses the author's reluctance to use AI for creative writing but acknowledges the potential benefits of AI tools for drafting and managing documentation. It highlights a growing acceptance of AI in practical, efficiency-focused tasks, suggesting that AI's role in content creation may be more widely embraced in non-creative domains. This shift could influence how AI is integrated into professional workflows, particularly for technical writing and documentation.

Show HN: AI Physics Tutor with Free Body Diagrams

Hacker News - AIAug 2

A developer has created an AI-powered physics tutor that uses large language models (LLMs) to interpret, generate, and edit free body diagrams, leveraging JSON and D3.js for consistent SVG visualizations. The tool can handle tasks like decomposing forces and explaining Newton's Second Law, demonstrating the potential for LLMs to aid in interactive STEM education by combining diagram generation with step-by-step mathematical explanations. This approach highlights the growing capability of AI to support conceptual learning and visualization in technical subjects.