📘 Chapter 7: Challenges of Artificial Intelligence

While AI offers numerous benefits, it also comes with serious challenges that society must address. These include technical, ethical, and social concerns that shape how AI is adopted across industries.

⚠️ Bias and Fairness

AI systems can unintentionally reflect human bias. If trained on biased datasets, they may discriminate in hiring, lending, or law enforcement decisions.

⚠️ Job Displacement

Automation powered by AI threatens to replace jobs in manufacturing, customer service, and even creative industries. While new jobs may appear, the transition is difficult.

⚠️ Data Privacy and Security

AI relies on vast amounts of data. This raises concerns about surveillance, hacking, and misuse of personal information without user consent.

⚠️ Over-Dependence on Automation

Relying too much on AI can reduce human critical thinking. In sectors like healthcare or aviation, this over-dependence could be dangerous during system failures.

⚠️ Environmental Impact

Training large AI models consumes massive energy, contributing to carbon emissions. This environmental cost often goes unnoticed in AI adoption debates.

✅ Key Takeaways

• AI faces issues of bias, fairness, and discrimination.
• Job loss and economic disruption remain major concerns.
• Data privacy and security challenges require strong regulation.
• Society must balance AI adoption with environmental responsibility.