AI ethics

AI ethics ensures artificial intelligence systems are designed and used responsibly, promoting fairness, transparency, accountability, and alignment with human values. It covers ethical AI design, responsible AI practices, and strategies to prevent bias or harm in AI applications.

Handle AI Ethics Dilemmas with Frameworks & Tools

AI ethicsSep 9

Warner Bros. is suing Midjourney, alleging that its AI image generator unlawfully reproduces copyrighted characters, including Superman and Batman. The lawsuit highlights a broader issue: AI systems trained on copyrighted works raise significant concerns about ownership, fairness, and accountability.

AI ethicsAug 25

Bias in AI: Examples and 6 Ways to Fix it

Interest in AI is increasing as businesses witness its benefits in AI use cases.

AI ethicsAug 23

Responsible AI: 4 Principles & Best Practices

AI and machine learning are revolutionizing industries, with 90% of commercial apps expected to use AI by 2025 as AI statistics shows. Despite this, 65% of risk leaders feel unprepared to manage AI-related risks effectively.

AI ethicsAug 19

What are the Major Ethical Concerns in Using Generative AI?

Generative AI is used to create text, code, images, and videos, reshaping how businesses operate. Research shows that generative AI technology will continue influencing business operations across all sectors. But as adoption grows, so do ethical risks. Below are the top concerns leaders should understand to implement these tools responsibly.