AI Ethics
discipline of the development of artificial intelligence systems with fair, safe and social values.
Artificial intelligence ethics is an interdisciplinary field that examines moral, social and philosophical questions that arise during the design, development and use of artificial intelligence systems. This area is interested in questions that systems do not discriminate against certain groups (algoritmic bias) and how their decisions are taken (heffafness and explainability), how the user data is collected (hesperity), who will be responsible for the harm given by a system (hesapability) and involving extensive social effects on employment, safety and human autonomy of AI. These problems are not about abstract philosophical discussions; learning and consolidating social bias in the past data of a recruitment algorithm is a concrete ethical problem that directly affects the life of real people.
Artificial intelligence ethics has a wide range of applications from academic research to corporate policy: companies create ethical principles and review boards, governments develop artificial intelligence regulations (such as AI Act of the European Union), researchers work on technical methods that determine and reduce bias. With the fact that models are becoming increasingly powerful and common, artificial intelligence ethics have become an integral part of not only an academic field, but responsible product development.
Artificial intelligence ethics has a wide range of applications from academic research to corporate policy: companies create ethical principles and review boards, governments develop artificial intelligence regulations (such as AI Act of the European Union), researchers work on technical methods that determine and reduce bias. With the fact that models are becoming increasingly powerful and common, artificial intelligence ethics have become an integral part of not only an academic field, but responsible product development.