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AI Risk

Risk area 6: Environmental and Socioeconomic harms

"LMs create some risks that recur with different types of AI and other advanced technologies making these risks ever more pressing. Environmental concerns arise from the large amount of energy required to train and operate large-scale models. Risks of LMs furthering social inequities emerge from the uneven distribution of risk and benefits of automation, loss of high-quality and safe employment, and environmental...

AI Risk6. Socioeconomic and Environmental6.0 > Socioeconomic & Environmental2 - Post-deployment

Record summary

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Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain6. Socioeconomic and EnvironmentalThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

"LMs create some risks that recur with different types of AI and other advanced technologies making these risks ever more pressing. Environmental concerns arise from the large amount of energy required to train and operate large-scale models. Risks of LMs furthering social inequities emerge from the uneven distribution of risk and benefits of automation, loss of high-quality and safe employment, and environmental harm. Many of these risks are more indirect than the harms analysed in previous sections and will depend on various commercial, economic and social factors, making the specific impact of LMs difficult to disentangle and forecast. As a result, the level of evidence on these risks is mixed."

Domain6. Socioeconomic and Environmental
Subdomain6.0 > Socioeconomic & Environmental
Entity1 - Human
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryRisk area 6: Environmental and Socioeconomic harms
Subcategoryn/a

Suggested mitigations

Defenses that may help with related attacks.

No propagated mitigations. No defense is available through the connected attack methods.

Source

Research source for this risk, when available.