Managing the AI Period's Confluence of Security and Morality

Managing the AI Period's Confluence of Security and Morality

Deepti Pandey, Aaditya Jain, A. Suneetha, Poonam Gupta, G. V. Sriramakrishnan, Adapa Gopi, Sabyasachi Pramanik
Copyright: © 2024 |Pages: 12
DOI: 10.4018/979-8-3693-2643-5.ch003
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Abstract

This chapter examines the complex interplay between ethics and privacy in the context of artificial intelligence (AI). Concerns about data privacy and ethical consequences have grown as AI technology has proliferated. The abstract explores the moral conundrums that result from gathering, analyzing, and using sensitive data, highlighting the need for strong frameworks that strike a compromise between advancing technology and defending individual rights. It looks at the difficulties in preserving privacy in AI-driven systems while abiding by moral standards, providing information on the state of affairs, possible dangers, and viable fixes for building an ethical and open AI ecosystem.
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Introduction

What Privacy and Ethics Mean and How Important Are They in the Context of AI

Given how swiftly technology is advancing and how it blurs the borders between personal data security and ethical issues, privacy and ethics are critical in the context of artificial intelligence (AI) (Robert et al., 2018). In this context, privacy refers to people's fundamental right to control their personal information and make sure AI systems do not intrude upon their private lives. Ethics, on the other hand, refers to the ethical and equitable use of AI to prevent harm and advance society well-being (Floridi et al., 2018). These rules are crucial because they guard against data breaches, algorithmic biases, and potential abuses of AI in monitoring and decision-making. In order to strike a balance between innovation and preserving human rights, promoting confidence in AI systems, and making sure they help rather than damage society, a robust foundation for privacy and ethics is required as AI is infused more and more into everyday life (Floridi & Cowls, 2022).

The significance of these concepts cannot be emphasized enough. Above all, especially in the era of large data and networked systems, they are crucial for protecting secret information and preventing security breaches. Secondly, they are essential in reversing algorithmic prejudices that might encourage discrimination and social injustice. Furthermore, according to Ryan (2020), privacy and ethics are essential for building user confidence, trusting AI systems, and making sure that AI is used to benefit society rather than damage it.

A solid and evolving basis for privacy and ethics is required as artificial intelligence becomes more and more ingrained in everyday life. Such a framework safeguards human rights and interests in addition to guaranteeing that the potential advantages of AI innovation are fully realized while minimizing possible risks and ethical difficulties. In this way, the ethics of privacy and AI promote a more equitable, just, and tranquil cohabitation of modern technology and humans.

Background Information and Significant Turning Points in the Evolution of AI Ethics and Privacy Concerns

The complex historical background of AI ethics and privacy problems has been impacted by the convergence of ethical criteria and technological breakthroughs (Bonawitz et al., 2017). The early stages of artificial intelligence development in the middle of the 20th century are the source of these concerns. Early AI pioneers like Alan Turing, who established the fundamental ideas of machine intelligence, unwittingly popularized the notion of robots imitating human cognitive capabilities. The development of AI technology in the next decades sparked worries about its ethical and privacy ramifications. Important turning points in this history include the publication of Isaac Asimov's Three Laws of Robotics, which provided an early framework for the ethical obligations of AI, and the development of the first AI systems in the 1950s and 1960s, which raised ethical concerns about the development of intelligent machines.

As debates about the ethics of handling sentient computers intensified, artificial intelligence (AI) advanced further in the 1970s and 1980s (Torrance, 2013). Throughout the 1990s, as the internet and other digital technologies proliferated, privacy concerns gained traction and prompted discussions about data security and monitoring. The rise of social media platforms and the field of machine ethics, which raised issues with algorithmic bias, filter bubbles, and the inappropriate use of personal data, were two significant developments in the early 21st century. The need for ethical standards has grown as a result of the 2018 Cambridge Analytica disaster and the advancement of deep learning techniques.

As these systems continue to develop and permeate more aspects of our lives, we are seeing a tipping point in AI ethics and privacy issues (Formosa et al., 2021). Governments, organizations, and academics are proactively creating regulations and ethical frameworks to address issues including accountability, transparency, equality, and privacy protection (Stahl & Wright, 2018). Finding a method to preserve human values while using AI's boundless potential will take time. In the process, we must ensure that AI systems behave in society's best interests while respecting fundamental ethical and privacy norms, and we must continually adapt to the quickly evolving technical environment.

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