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MIT AI Risk Initiative
BackConfidentiality loss
Business operations/infrastructure damag…
Increased competition

Confidentiality loss

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Abercrombie et al. (2024)

SourceDOI
Sub-category

"Confidentiality loss - Unauthorised sharing of sensitive, confidential information and documents such as corporate strategy and financial plans with third-parties."(p. 18)

Entity: Who or what caused the harm

Human

Due to a decision or action made by humans

AI system

Due to a decision or action made by an AI system

Other

Due to some other reason or is ambiguous

Intent: Whether the harm was intentional or accidental

Intentional

Due to an expected outcome from pursuing a goal

Unintentional

Due to an unexpected outcome from pursuing a goal

Other

Without clearly specifying the intentionality

Timing: Whether the risk is pre- or post-deployment

Pre-deployment

Occurring before the AI is deployed

Post-deployment

Occurring after the AI model has been trained and deployed

Other

Without a clearly specified time of occurrence

Part of Financial and business

Other risks from Abercrombie et al. (2024) (53)

Autonomy

5.2 Loss of human agency and autonomy
OtherOtherOther

Autonomy > Autonomy/agency loss

5.2 Loss of human agency and autonomy
OtherOtherOther

Autonomy > Impersonation/identity theft

4.3 Fraud, scams, and targeted manipulation
HumanIntentionalPost-deployment

Autonomy > IP/copyright loss

4.3 Fraud, scams, and targeted manipulation
HumanIntentionalOther

Autonomy > Personality rights loss

5.2 Loss of human agency and autonomy
OtherOtherOther

Financial and business

4.3 Fraud, scams, and targeted manipulation
HumanOtherPost-deployment
View all 53 risks from this paper →