Incorporating ethics into AI tools PART 4: HYBRID INTELLIGENCE
Hybrid intelligence supports ethical practices by leveraging AI’s efficiency, while ensuring human oversight in critical areas, maintaining accountability, and addressing ethical concerns like bias and transparency. The EU’s “Ethics guidelines for trustworthy AI” include a pilot version of a “Trustworthy AI Assessment List” which provides more detail on the key requirements for ensuring AI systems can be relied upon. 1 The guidelines outline a number of important questions, such as whether the organisation has carried out a fundamental rights impact assessment, to avoid any negative impact on fundamental rights.
Other useful points in the guidelines include asking whether the organisation has considered the allocation of tasks between the human and the AI. If there is human review of the output of AI, this can be used to mitigate the risks of issues arising, albeit there is still the risk of automation bias, leading the human to believe the output from the AI regardless of its robustness. Hybrid intelligence supports ethical practices by leveraging AI’s efficiency, while ensuring human oversight in critical areas, maintaining accountability.
1 https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
AI AND ETHICS | PART FOUR: HYBRID INTELLIGENCE
19
Made with FlippingBook Digital Publishing Software