Loading content
This cluster provides a comprehensive perspective on the challenges and opportunities associated with ethics and sustainability in technology.
This segment covers risks and design principles for responsible data and artificial intelligence. It includes transparency, explainability, fairness, robustness, misuse prevention, and responsible use of automation. The focus is on ethical consequences of data- and model-driven systems, independent of broader privacy or compliance requirements that are covered in the governance segment.
Structured process to assess risks and impacts of automated decision- and recommendation-systems.
Principles and governance for the responsible design, assessment and use of AI systems.
Principles and guardrails for responsible data handling that address individual rights and the societal effects of data-driven decisions.
Principles for the safe, fair and responsible design of AI systems.