PRINCIPLES OF ETHICAL ARTIFICIAL INTELLIGENCE

Terms such as algorithms, data, and artificial intelligence (AI) are becoming part of our daily lives. Undoubtedly, they are widely talked about and promise a more successful future. But what risks can losing control over their development pose? In order to respond to the challenges of accountability in the development of AI, many government agencies, private enterprises, and international organizations have published charters of practice, declarations of principles, and recommendations in this direction. They have demonstrated convergence around basic principles. However, principles are sometimes abstract and are not always defined in the same way all over the world. Much work remains to be done in this area. We need to think about the implementation of general ethical principles, ensure that they can be applied to each area of specific activity (education, science, healthcare, etc.), and the proposals arising from this thinking should be implemented in practice. It is important to involve citizens more in defining guidelines for the responsible use of AI and big data and to collect their informed opinions. Indeed, the application of artificial intelligence affects everyone and raises ethical and political questions that are the subject of public debate (pp.47-52).