The algorithmic automation of media processes has produced machines that perform in roles that were previously occupied by human beings. Recent research has probed various theoretical approaches to the agency and ethical responsibility of machines and algorithms. However, there is no theoretical consensus concerning many key issues. Rather than setting out with fixed conceptions, this research calls for a closer look at the considerations and attitudes that motivate actual attributions of agency and responsibility. The empirical context of this study is legacy media where the introduction of automation, together with topical considerations of journalistic ethics and responsibility, has given rise to substantial reflection on received conceptions and practices. The results show a continuing resistance to attributions of agency and responsibility to machines. Three lines of thinking that motivate this stance are distinguished, and their potential shortcomings and theoretical implications are considered.
Scientific realism is a critical target of anti-representationalists such as Richard Rorty and Huw Price, who have questioned the very possibility of providing a satisfactory argument for realism or any other ontological position. I will argue that there is a viable form of realism which not only withstands this criticism but is vindicated on the antirepresentationalists' own grounds. This realist position, largely drawn from the notion of the scientific method developed by the founder of philosophical pragmatism, Charles S. Peirce, will further be compared with the accounts of truth and objectivity proposed by the contemporary pragmatists, Rorty, Price, and Robert B. Brandom.
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