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Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy
Risk Domain
The development and operation of AI systems causing environmental harm, such as through energy consumption of data centers, or material and carbon footprints associated with AI hardware.
"Short-term or long-term Negative effects on the natural environment"(p. 4)
Entity— Who or what caused the harm
Intent— Whether the harm was intentional or accidental
Timing— Whether the risk is pre- or post-deployment
Supporting Evidence (1)
1.
"Risks to the natural environment include ecological disruptions and pollution, which may be exacerbated by energy consumption and waste output."(p. 7)
Other risks from Tang2025 (7)
Chemical Risks
4.2 Cyberattacks, weapon development or use, and mass harmHumanIntentionalPost-deployment
Biological Risks
4.2 Cyberattacks, weapon development or use, and mass harmOtherUnintentionalOther
Radiological Risks
7.3 Lack of capability or robustnessOtherOtherPost-deployment
Physical (Mechanical ) Risks
7.3 Lack of capability or robustnessOtherUnintentionalPost-deployment
Information Science Risks
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationOtherOtherPost-deployment
Malicious and Direct
4.0 Malicious Actors & MisuseHumanIntentionalOther