Ethics in AI and Virtual Reality: Ensuring Responsible Development

Ethics in AI and Virtual Reality: Ensuring Responsible Development

Kriti Saroha, Vishal Jain
DOI: 10.4018/979-8-3693-2647-3.ch008
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Abstract

This chapter explores the ethical considerations that arise at the intersection of artificial intelligence (AI) and virtual reality (VR). It examines the multifaceted ethical challenges posed by the integration of AI and VR technologies, focusing on issues such as privacy, bias, autonomy, social impact, and regulatory frameworks. By analyzing existing literature and real-world cases, this chapter seeks to provide a comprehensive understanding of the ethical dimensions of AI-driven virtual reality experiences.
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1. Introduction

As the fields of artificial intelligence (AI) and virtual reality (VR) continue to advance at an unprecedented pace, their potential to transform various aspects of our lives becomes increasingly apparent. The rapid advancement of these technologies has brought about transformative changes across various sectors. From enhancing entertainment experiences to revolutionizing industries such as healthcare and education, AI and VR hold immense promise. However, with great power comes great responsibility and hence, their responsible development is paramount to avoid unintended consequences. This chapter explores the ethical considerations surrounding the development and deployment of AI and VR technologies, emphasizing the importance of responsible practices to ensure a harmonious integration into society. There is compelling need for exploring the ethical implications of creating and interacting with artificial virtual environments, including questions about the blurring of reality, identity, and morality. Ethics in AI and virtual reality encompasses a wide range of issues/ aspects, all of which are crucial for ensuring the responsible development of these technologies. Some of the key issues included under this umbrella are discussed in subsequent sections.

1.1 Brief Overview of AI and VR Technologies

Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to the simulation of human intelligence processes by computer systems. AI systems can perform tasks that typically require human intelligence, such as problem-solving, decision-making, language understanding, and learning. AI encompasses various techniques, including machine learning, natural language processing, computer vision, and robotics.

AI has found applications in diverse domains, from healthcare and finance to entertainment and autonomous vehicles. Machine learning algorithms, such as neural networks, enable AI systems to analyze large datasets, recognize patterns, and make predictions. AI-driven technologies have the potential to transform industries, enhance efficiency, and introduce new levels of automation (Goodfellow et al., 2016; Russell & Norvig, 2016).

Virtual Reality (VR)

Virtual Reality (VR) is a technology that creates a computer-generated simulated environment, allowing users to interact and immerse themselves in a three-dimensional virtual world. VR typically involves the use of headsets or other devices that provide visual, auditory, and sometimes haptic feedback, creating a sense of presence within the virtual environment.

VR has applications in entertainment, education, training, therapy, and more. It enables users to experience scenarios that may be difficult or impossible to encounter in the physical world. VR experiences can range from immersive gaming environments to realistic architectural walkthroughs and medical simulations (Burdea & Coiffet, 2003; Sherman & Craig, 2018).

The Convergence of AI and VR

AI and VR technologies, though distinct technologies, are increasingly converging to create immersive and intelligent virtual experiences. AI provides the cognitive capabilities necessary to make sense of complex data and interactions within virtual environments. AI enhances VR environments by providing real-time interactions and personalized content, while VR augments AI by creating lifelike simulations for training and testing AI models. VR also enhances the immersive experience by simulating realistic and interactive settings. However, the fusion of these technologies opens up new frontiers but also poses complex ethical challenges that require careful navigation.

As these technologies continue to advance, understanding and addressing the ethical implications of AI-VR integration is crucial for ensuring responsible and beneficial development in both fields. Figure 1. shows the components of a good ethical AI framework as discussed in (Censius, n.d.).

Figure 1.

Components of a good ethical AI framework (Censius, n.d.)

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