Digital Ethics Principles Include Openness, Accountability, and User Autonomy

This study focuses on how government bodies address digital ethics in their policies. Using a structural topic model (STM), an automated text mining t…

The University of Stuttgart, developed ethics labeling covering six dimensions such as reliability, transparency, sustainability, justice, and accountability, proposing measurable indicators to assess digital products ethically, in an ordinal grade4. Similarly, the OpenEthics Label (OEL) initiative focuses on voluntary labeling for lower-risk AI applications, disclosing algorithmic transparency, data practices, and system safety measure: “OEL is the direct and verifiable reflection of what was made public in the process of self-disclosure and it includes details such as approach to algorithmic and data transparency as well as safety precautions when it comes to modulating the system’s output”5.

A minimal concept of autonomy includes the following elements: (1) independence, which means that individuals can act without being controlled or manipulated by others and can act on their own; (2) authenticity, in which autonomous agents can regulate their actions according to their own desires, emotions, character, and beliefs that define their true self; and (3) rational capacity, in which autonomous agents possess self-control, critical thinking, and deliberation skills to evaluate their choices and take action (Christman, 2020). In the context of ADM, users’ perception of autonomy can accordingly be assessed through four aspects: (1) having control and sufficient choices, (2) accounting for user preferences, (3) transparency and explainability, and (4) personal data and privacy (cf.

A thorough analysis of the moral concerns surrounding large language models (LLMs) highlights how crucial it is to remedy inadvertent injuries, maintain openness, and adhere to human values. The report promotes a multipronged strategy that includes public involvement, industry accountability, regulatory frameworks, and ethical oversight. In order to ensure that ethical issues are integrated throughout the machine learning process, this collaborative effort is crucial for changing norms around AI development (Ferdaus et al., 2024). There is a pressing need for standardized practices, as evidenced by the emergence of AI ethics guidelines across the globe.

Only the industries with core competencies are enabled to properly regulate ethical and legal decision-making processes within their environment [12], and this opens up the existing and future manufacturing environment to various regulatory and ethical issues. This paper focuses on ethical and privacy issues related to enabling technologies (i.e., Cybersecurity, Cloud, Autonomous Vehicles, Artificial Intelligence, Big Data, and Machine Learning) and provides insights into the existing regulatory frameworks, policies, and ethical limitations of these technologies.

The records which explore the impact and role of digital technologies in health and healthcare focus on several core themes: technology’s impact on our conceptual understanding of ‘health’ and ‘healthcare’; ethical challenges surrounding topics such as data privacy and patient autonomy; and additional concerns posed by new technologies (e.g. robotics or AI) that include questions such as ‘Who is accountable for healthcare?’, ‘How can we ensure the intelligibility of automated decisions?’, and ‘How do we ensure equal access to digital health services?’.

Information Ethics. In Jeroen van den Hoven and · John Weckert, editors. Moral Philosophy and Information Tech- nology. Cambridge University Press, Cambridge, forthcoming. 3 This section is a slightly revised summary of L. Floridi, The · Ontological Interpretation of Informational Privacy. 4 ‘‘Agent’’ has a variety of meanings. In other papers, I use it to · refer to interactive, autonomous ...

He defines the moral agent as an interactive, autonomous, and adaptable transition system capable of performing "morally qualifiable actions" (86). With this broad definition, Floridi hopes to get beyond the anthropromorphic attitude toward moral agency. He concedes that although artificial moral agents, like robots and corporations, can be held morally accountable, they lack moral responsibility for their actions.

It also highlights three broader themes: positive computing, personalised human–computer interaction, and autonomy and self-determination. The review argues that three themes will be central to ongoing discussions and research by showing how ...