AI Ethics for Beginners: Bias, Safety, and the Future

As AI becomes more powerful, we must ask: Are these tools safe? Are they fair? AI ethics is the field dedicated to answering these difficult questions.

1. Bias in AI

AI models learn from the internet, and the internet is full of human biases. This means an AI might accidentally discriminate against certain groups in hiring, lending, or law enforcement if not carefully trained.

2. The Deepfake Problem

Tools like Sora and ElevenLabs can create realistic videos and audio of anyone saying anything. This poses a massive risk for misinformation and identity theft. Tech companies are now working on "watermarking" AI content to detect deepfakes.

3. Job Displacement

While AI creates new jobs, it also threatens old ones. The ethical challenge is how society stays resilient during this transition. Retraining and upskilling programs are crucial.

Conclusion

AI is a tool, not a villain. By understanding its risks, we can push for regulations and development practices that ensure AI benefits everyone, not just a few.