BackEnvironmental and socioeconomic harms
Environmental and socioeconomic harms
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.
"At a time of increasing climate urgency, energy consumption and the carbon footprint of AI applications are also matters of ethics and responsibility [68]. As with other energy-intensive technologies like proof-of-work blockchain, the call is to research more environmentally sustainable algorithms to offset the increasing use scale."(p. 100)
Entity— Who or what caused the harm
Intent— Whether the harm was intentional or accidental
Timing— Whether the risk is pre- or post-deployment
Other risks from Cunha & Estima (2023) (5)
Broken systems
1.1 Unfair discrimination and misrepresentationAI systemUnintentionalPost-deployment
Hallucinations
3.1 False or misleading informationAI systemUnintentionalPost-deployment
Intellectual property rights violations
6.3 Economic and cultural devaluation of human effortOtherOtherOther
Privacy and regulation violations
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationHumanIntentionalPost-deployment
Enabling malicious actors and harmful actions
4.0 Malicious Actors & MisuseOtherIntentionalPost-deployment