Linking Artificial Intelligence Principles
Technological transparency implies that AI systems be auditable, comprehensible and intelligible by human beings at varying levels of comprehension and expertise.
Artificial intelligence should operate on principles of intelligibility and fairness.
Companies and organisations need to improve the intelligibility of their AI systems.
Artificial intelligence systems transparency and intelligibility should be improved, with the objective of effective implementation, in particular by:
b. promoting transparency, intelligibility and reachability, for instance through the development of innovative ways of communication, taking into account the different levels of transparency and information required for each relevant audience,
AIS must meet intelligibility, justiﬁability, and accessibility criteria, and must be subjected to democratic scrutiny, debate, and control.
1) AIS processes that make decisions affecting a person’s life, quality of life, or reputation must be intelligible to their creators.
We want not just intelligent machines but intelligible machines.
Transparency: the intelligibility of artificial intelligence work and the process whereby it achieves results, as well as nondiscriminatory access by the users of products that have been created on the basis of artificial intelligence technologies to information about the artificial intelligence operating algorithms employed in these products;
Additionally, it will endeavor to provide intelligible explanations and information to customers about the possible impact of using these products and services.