The social price of artificial intelligence: ethics, data privacy and other costs

Artificial intelligence (AI) ethics is related to the issue of how developers, producers, and operators of the technologies should behave to minimize the negative social consequences of AI technology implementation in society. The scope of AI implementation includes the issues that arise right at this particular moment regarding various problems, related, for example, to data privacy and bias in modern AI systems; short and medium-term issues such as the influence of AI and robotics on employment; and also, long-term concern about the possibility of reaching and exceeding human abilities with help of AI. The widespread resort of smartphones and other gadgets with AI systems, which many of relying on nowadays, also the fact that AI has a growing influence on many areas of modern society, including manufacturing, healthcare, judicial system, transport, finance and leisure activities, and the possibility of perspective “armament drive” caused a great deal of national and international initiatives from NGOs, political and manufacturing groups and governments. These initiatives led to the publication of various sets of ethical principles for robotics and AI systems (at least 22 sets of them have been published since 2017), there are also new ethical standards are being created, for example, one by IEEE, and the bigger number of counties announce the beginning of strategies implementation related to AI usage, including large scale financing and creation of national consultative or political organs.