Linking Artificial Intelligence Principles
Regarding system decision making processes, data structures, and the intent of system developers and technological implementers: be capable of accurate description, monitoring, and reproduction; and realize explainability, predictability, traceability, and verifiability (可解释、可预测、可追溯和可验证) for algorithmic logic, system decisions, and action outcomes.
This may include, but not limited to: making the system as fair as possible, reducing possible discrimination and biases, improving its transparency, explainability and predictability, and making the system more traceable, auditable and accountable.
This also involves the transparency and predictability of ‘autonomous’ systems, without which users would not be able to intervene or terminate them if they would consider this morally required.
As an industry, it is our responsibility to recognize potentials for use and misuse, the implications of such actions, and the responsibility and opportunity to take steps to avoid the reasonably predictable misuse of this technology by committing to ethics by design.
Ensure legal certainty: Governments should ensure legal certainty on how existing laws and policies apply to algorithmic decision making and the use of autonomous systems to ensure a predictable legal environment.
How should we react when faced with AI’s predictable consequences on the labour market?