The Future of Everything Is Lies, I Guess: Safety
2 days ago
- #Machine Learning Risks
- #AI Safety
- #Technology Ethics
- Machine learning systems, including LLMs, endanger psychological and physical safety, with alignment efforts unlikely to prevent malicious use.
- LLMs pose security risks like prompt injection attacks and cannot safely handle destructive power or untrusted input, leading to potential data exfiltration and system damage.
- ML lowers the cost for sophisticated fraud, harassment, and exploitation, undermining trust in audio/visual evidence and increasing societal burdens like higher insurance premiums.
- AI-generated content, such as CSAM and violent imagery, increases trauma for moderators, with platforms struggling to mitigate harm through automated detection.
- Autonomous weapons systems using ML are emerging, enabling targeted killings while obscuring ethical responsibility, with military applications likely to expand despite corporate resistance.