1. Risk of Job Displacement
As AI automates more tasks, especially repetitive ones in data entry or manufacturing, many jobs could be eliminated. This means people will need to constantly learn new skills and adapt to find new types of work.
2. Ethical Bias and Unfairness
AI systems learn from historical data. If that data contains existing biases (like unfair hiring patterns), the AI will repeat and even increase that unfairness, which can lead to biased outcomes in areas like justice, education, or finance.
3. Decisions are Hard to Explain
Some advanced AI, often called a "black box," makes decisions without clearly showing the steps it took. This makes it hard to trust the AI or fix mistakes, especially when the decision is important, like in medical diagnosis or legal sentencing.
4. High Costs and Limited Access
Creating and running powerful AI requires enormous resources—expensive computers, huge data centers, and expert programmers. This means only very large, rich organizations can develop the best AI, which could concentrate power and influence.
5. Risk of Misinformation and Misuse
AI tools can be misused to create very realistic "deepfakes" to spread false information, or to launch highly sophisticated cyberattacks. These risks pose threats to security and trust in what we see and hear online.
6. Too Much Reliance on Technology
If we depend too much on AI to do our thinking for us—like using it for every math problem or every written assignment—we might stop practicing and developing our own critical thinking and problem-solving skills.