AI ethics is a system of moral principles and techniques intended to inform the development and responsible use of artificial intelligence technology. As AI has become an integral part of products and services, organizations are starting to develop ethical AI codes. Utilitarianism is a philosophical approach to measuring the legitimacy of one's own actions, formulated by J. S.
At its core, there is a belief that all human beings want to maximize pleasure and minimize pain. Therefore, a good action is the one that maximizes pleasure to the maximum and for the greatest number of people. However, by applying utilitarianism to real-life situations, we run the risk of developing an AI program that is simply inhumane. For example, killing one person for the sake of many is utilitarian, but for many people it is morally wrong.
Recently, more than 1,000 technology leaders and researchers called for a pause in the development of AI, arguing that there are “profound risks to society and humanity”, which are largely based on the same ethical concerns that we raise. If such a pause occurs, it seems likely that it will be organizations that will decide how they are going to use the immense and growing power of AI. Therefore, we renew our call for TD professionals to adopt these seven principles. We already have training in cybersecurity and threat awareness, but now we must include the risks associated with the use of AI.
If we really want to manage this transformation and make AI work for us, we must implement it with a deep concern for its impact on people. Arijit Sengupta, founder and CEO of Abile, an AI development platform, says: “The fundamental problem with an AI code of ethics is that it is reactive, not proactive. In addition, AI ethics receives substantial funding from a variety of public and private sources, and several research centers on AI ethics have been created. An ethical framework for AI is important because it sheds light on the risks and benefits of AI tools and establishes guidelines for their responsible use.
In addition, the EU's high-level expert group on AI had very few experts in the field of ethics, but with numerous industry representatives, who were interested in mitigating any ethical concerns related to the AI sector. Women4Ethical AI, from UNESCO, is a new collaborative platform that supports the efforts of governments and companies to ensure that women are equally represented in both the design and deployment of AI. An AI Code of Ethics, also called the AI Values Platform, is a political statement that formally defines the role of artificial intelligence in its application to the ongoing development of the human race. A proactive approach to ensuring ethical AI requires addressing three key areas, according to Jason Shepherd, vice president of ecosystems at Zededa, a provider of cutting-edge AI tools.
In fact, many authors who debate the ethics of AI propose explainability (also known as explainability) as a basic ethical criterion, among others, to determine the acceptability of decision-making in the area of AI (Floridi et al. While values and principles are crucial to establishing a foundation for any ethical framework for AI, recent movements in AI ethics have emphasized the need to move beyond high-level principles and move to practical strategies. Public understanding of AI and data should be promoted through open and accessible education, civic participation, digital skills (26%), ethical training in AI, and information literacy with the media (26%).
