Ethical And Social Implications Of Generative AI And Deepfakes

Abstract

Generative AI and deepfakes have changed the way material is made, which raises serious moral and social issues. These technologies can help with creative new ideas and make things easier, but they can also lead to problems like false information, identity theft, and a loss of faith in digital media. Deepfakes, in particular, can be used to make fake information that looks authentic, which is bad for people's privacy, political stability, and public discourse. There are moral problems with permission, authorship, and accountability, especially when AI-generated outputs look and sound much like real human speech. The fact that these technologies are so widely available puts pressure on legal systems and calls for strong responses in the areas of regulation, education, and technology. This abstract talks about the two-sided effects of generative AI and stresses the need for ethical rules, media literacy, and cooperation between different sectors to make sure it is used responsibly. As the border between real and fake gets less clear, people need to be careful with these new technologies to protect honesty, trust, and human dignity in the digital era.