Uniformity in the AI field

What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review

Giarmoleo et al. (2024)

Source DOI

Sub-category

Risk Domain

6Socioeconomic & Environmental

6.1Power centralization and unfair distribution of benefits

AI-driven concentration of power and resources within certain entities or groups, especially those with access to or ownership of powerful AI systems, leading to inequitable distribution of benefits and increased societal inequality.

"This group of concerns represents 2% of the sample and highlights two central issues: Western centrality and cultural difference, and unequal participation."(p. 13)

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

Supporting Evidence (2)

Western centrality and cultural differences: "This concern addresses the intersection of cultural diversity and ethical dimensions within the field of AI.... Some articles emphasize the need to infuse AI ethics and governance with diverse socio-cultural perspectives."(p. 13)