ARTIFICIAL INTELLIGENCE ETHICS IN VARIOUS FIELDS: A REVIEW

Nowadays, artificial intelligence (AI) has been widely used in many fields, such as fine arts and design, education, accounting, media, and judicial systems. AI provides significant potential benefits such as the ability to produce similar products in short periods of time, automate processes, increase efficiency, and provide data-driven analyses. However, this rapidly developing use of AI brings with it a number of complex ethical issues and risks. These issues include lack of transparency, accountability uncertainties, data privacy and security breaches, algorithmic bias and discrimination, copyright and copyright ownership issues, impacts on the labour market and employment concerns, potential for manipulation and disinformation, reduced human touch, and unpredictability of systems. This situation emphasises the importance of the concept of “responsible artificial intelligence”, which is an approach sensitive to ethical values, security, transparency, and user rights in the design, development, implementation, and use processes of AI. Responsible AI includes fundamental principles such as fairness, transparency, accountability, robustness and security, data governance, laws and regulations, human oversight, and societal welfare. Overcoming these ethical challenges requires collaboration among various stakeholders, such as artists and designers, technologists, decision-makers, lawyers and educators, and the implementation of appropriate policy and legal regulations. This study aims to reveal the importance and necessity of responsible and ethical use of AI by examining the ethical risks and issues in different application areas of AI through a systematic approach through relevant literature and real examples. In order to maximise the societal benefits of AI, it is essential to carefully address ethical dimensions and develop continuously updated ethical standards.