Preventing Unintended Consequences:
Researching methods to anticipate and mitigate unforeseen negative consequences of AI systems.
Robustness and Reliability:
Developing techniques to ensure AI systems are reliable and function as intended, even in unexpected situations.
Value Alignment:
Aligning AI systems with human values to ensure they operate ethically and in accordance with human goals.
Security and Malicious Use:
Addressing vulnerabilities of AI systems to hacking and malicious use, and developing safeguards against misuse.