Titlebook: Code and Conscience; Exploring Technology Judit Bayer,Christian Grimme Book 2025 The Editor(s) (if applicable) and The Author(s), under exc

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,Facial Recognition Technologies (FRT) in Public Spaces and Their Impact on Individual and Collectivon the individual and collective behaviour of individuals and society as a whole. In this paper, we try to explore the terrain of the history of surveillance and its modern form in places like China to set the context and introduce current technologies. Later, we explore the possible ways the societ

CLASP

,Taking Responsibility: Who Should Be Held Responsible for the Misuse and Unintended Consequences ofay life of almost every member of our society is facilitated, shaped and influenced by the AI algorithms of social media companies. They shape public opinion by ranking and ordering each user’s content and information [.].

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,Social Bots Spreading Disinformation About Finance: Research Trends, and Ethical Challenges,media can create conditions for malicious groups to manipulate market values and investor behaviors in weak positions. Several studies have proposed approaches to dealing with disinformation escalated by modern technologies, and regulatory bodies need to absorb the lessons given. In this paper, we w

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,Data Protection and Surveillance: Novel Pathways of an Ethical Data Economy,n the data economy. This overlapping of technology, economy, and society makes it incumbent upon national and pan-European authorities to safeguard often conflicting interests of all stakeholders in the best interest of all. However, unfortunately, the laws and regulations may be imposed, but are of

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,The Responsible Implementation of Artificial Intelligence in Childcare,t children when they interact with them from an early age. Parents, children and society as a whole benefit when childcare practices lead to healthy outcomes later in life. However, for many (possible) AI applications in childcare, it is unclear if their effects promote positive outcomes for childre

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,AI in Pre-employment Assessments; How Unbiased, Fair and Objective Is It?,can support the hiring processes. These new solutions claim objectivity and deduction of human biases from the recruiting process. This paper presents the current state of intelligent machine hiring systems by analysing two real use cases. From the use cases, the concerns and setbacks of the systems

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Judit Bayer,Christian GrimmeDedicated to all those who pursue interdisciplinary studies between IT and social science.Contributors operate at the intersection of related fields.Explores topics of AI, human rights, policing, priv