Relying on artificial intelligence (AI) comes with several potential risks and downsides, including:

1. **Bias and Discrimination**: AI systems can perpetuate and even amplify existing biases if they are trained on biased data. This can lead to unfair treatment in areas like hiring, lending, and law enforcement.

2. **Privacy Concerns**: AI often requires large amounts of data to function effectively, which can lead to concerns about data privacy and security. Misuse or unauthorized access to personal data can have serious consequences.

3. **Job Displacement**: Automation and AI can lead to job displacement in various sectors. While new jobs may be created, there can be a significant short-term impact on workers in certain industries.

4. **Security Risks**: AI systems can be vulnerable to hacking and other forms of cyber attacks. Malicious actors could potentially exploit AI to cause harm or disruptions.

5. **Lack of Transparency**: Many AI systems, especially those based on deep learning, are often considered “black boxes” because their decision-making processes are not easily understood. This lack of transparency can make it difficult to trust and verify AI decisions.

6. **Dependence on Technology**: Over-reliance on AI can lead to a loss of critical thinking and decision-making skills in humans. This dependence might also make societies vulnerable if AI systems fail or are unavailable.

7. **Ethical Concerns**: The use of AI in sensitive areas like surveillance, autonomous weapons, and social credit systems raises significant ethical questions about the balance between security, freedom, and privacy.

8. **Economic Inequality**: The benefits of AI might not be evenly distributed, potentially widening the gap between those who have access to AI technologies and those