Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI

Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI

Keng Siau, Weiyu Wang
Copyright: © 2020 |Pages: 14
DOI: 10.4018/JDM.2020040105
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Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies. As AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. Even though the concept of “machine ethics” was proposed around 2006, AI ethics is still in the infancy stage. AI ethics is the field related to the study of ethical issues in AI. To address AI ethics, one needs to consider the ethics of AI and how to build ethical AI. Ethics of AI studies the ethical principles, rules, guidelines, policies, and regulations that are related to AI. Ethical AI is an AI that performs and behaves ethically. One must recognize and understand the potential ethical and moral issues that may be caused by AI to formulate the necessary ethical principles, rules, guidelines, policies, and regulations for AI (i.e., Ethics of AI). With the appropriate ethics of AI, one can then build AI that exhibits ethical behavior (i.e., Ethical AI). This paper will discuss AI ethics by looking at the ethics of AI and ethical AI. What are the perceived ethical and moral issues with AI? What are the general and common ethical principles, rules, guidelines, policies, and regulations that can resolve or at least attenuate these ethical and moral issues with AI? What are some of the necessary features and characteristics of an ethical AI? How to adhere to the ethics of AI to build ethical AI?
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1. Introduction

Some researchers and practitioners believe that artificial intelligence (AI) is still a long way from having consciousness and being comparable to humans, and consequently, there is no rush to consider ethical issues. But AI, combined with other smart technologies such as robotics, has already shown its potential in business, healthcare, transportation, and many other domains. Further, AI applications are already impacting humanity and society. Autonomous vehicles can replace a large number of jobs, and transform the transportation and associated industries. For example, short-haul flights and hospitality services along highways will be impacted if driverless cars enable passengers to sleep and work during the journey. AI-recruiters are known to exhibit human biases because the training data inherits the same biases we have as humans. The wealth gap created by the widening differences between return on capital and return on labor is posed to create social unrest and upheavals. The future of work and future of humanity will be affected by AI and plans need to be formulated and put in place. Building AI ethically and having ethical AI are urgent and critical. Unfortunately, building ethical AI is an enormously complex and challenging task.

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