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.

What are the Major Ethical Concerns in Using Generative AI?

AI ethicsAug 19

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.

AI ethicsAug 23

Responsible AI: 4 Principles & Best Practices in 2025

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 18

Handle Top 12 AI Ethics Dilemmas with Real Life Examples

Though artificial intelligence is changing how businesses work, there are concerns about how it may influence our lives. This is not just an academic or a societal concern but a reputational risk for companies, no company wants to be marred with data or AI ethics scandals that impact companies.

AI ethicsAug 23

Bias in AI: Examples and 6 Ways to Fix it in 2025

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