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Responsible Artificial Intelligence: How to Develop and Use Ai in a Responsible Way
Springer Verlag (2019)
Abstract
In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.
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Chapters
Looking Further
In his article “Seven Deadly Sins of AI Predictions”, Rodney Brooks quotes Amara’s Law: “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” In its relatively short history, AI has been overestimated several times, in the 1960s, in the 1... see more
Ensuring Responsible AI in Practice
In the previous chapters, we have discussed the issue of responsibility with respect to the processes to design, develop, deploy and use AI , and how to deal with ethical reasoning by the AI systems themselves . In this chapter, we will look at mechanisms that can ensure that all involved will indee... see more
Can AI Systems Be Ethical?
In the previous chapter, we looked at the responsible design of AI systems, from the perspective of the design process. The issue we will discuss now is whether we can develop an AI system that is able to reason about its social and normative context and the ethical consequences of its decisions. Th... see more
Taking Responsibility
Now that we have discussed what Artificial Intelligence is and how ethical theories can be relevant to understanding the impact of AI, we turn our attention to the practical development of AI systems in ways that are aligned with human values and can ensure trust.
Ethical Decision-Making
As intelligent machines become increasingly ubiquitous, researchers, policy-makers and the general public alike are growing concerned about the ethical implications. A large part of these concerns relate to the capability, or the lack thereof, of machines to make decisions of an ethical nature. In t... see more
What Is Artificial Intelligence?
Defining Artificial Intelligence is no easy task. The field itself is broad and different approaches have provided differing definitions. The aim of this chapter is not to solve this issue or present a single definition of AI but to help understand what are the different claims, and, in the process,... see more
Introduction
As advances in Artificial Intelligence occur at a rapid pace, there is a growing need for us to explore and understand what impact these will have on society. Policymakers, opinion leaders, researchers and the general public have many questions. How are biases affecting automated decision-making? Ho... see more
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Citations of this work
Artificial intelligence and responsibility gaps: what is the problem?Peter Königs - 2022 - Ethics and Information Technology 24 (3):1-11.
How does Artificial Intelligence Pose an Existential Risk?Karina Vold & Daniel R. Harris - 2023 - In Carissa Véliz (ed.), The Oxford Handbook of Digital Ethics. Oxford University Press.
Understanding responsibility in Responsible AI. Dianoetic virtues and the hard problem of context.Mihaela Constantinescu, Cristina Voinea, Radu Uszkai & Constantin Vică - 2021 - Ethics and Information Technology 23 (4):803-814.
Embedded ethics: a proposal for integrating ethics into the development of medical AI.Alena Buyx, Sami Haddadin, Ruth Müller, Daniel Tigard, Amelia Fiske & Stuart McLennan - 2022 - BMC Medical Ethics 23 (1):1-10.
A sociotechnical perspective for the future of AI: narratives, inequalities, and human control.Andreas Theodorou & Laura Sartori - 2022 - Ethics and Information Technology 24 (1):1-11.
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