AI is widely used in healthcare, but there is a lack of citizen participation in its governance. A study explored perspectives on AI ethics and the potential of a digital app to engage citizens. Participants emphasized the need for an accessible and transparent app to support citizens' decision-making.

AI is raising ethical implications in various areas, including passive AI helpers, events with an uncanny valley, AI's role in the capitalist market, and AI's cognitive and emotional functions. As AI surpasses humans in the cognitive realm, we must prepare for the next step.

This conceptual paper explores the possibility of human beings achieving virtual immortality. It discusses the progress of human knowledge, from ancient times to the creation of humanoid robots, and the ethical issues they present.

Artificial intelligence (AI) has the potential to predict the onset of Alzheimer's disease several years in advance, but ethical concerns arise when offering this early diagnosis to asymptomatic individuals. The right to know, future planning, and risk-benefit assessment are reasons for offering predictive tests, while lack of treatment and threats to social rights are reasons against. to mitigate these ethical concerns, pre-symptomatic testing should only be offered upon request and physicians should receive training in communicating AI predictions.

The paper discusses the ethical and social implications of using embodied AI in mental health care. It identifies the benefits and challenges of using AI in therapy and provides preliminary recommendations for addressing ethical concerns. The use of embodied AI in mental health care shows promise, but further research is needed to address broader ethical and societal concerns.

AI in healthcare has become important in plastic surgery. Applications include big data, machine learning, and facial recognition. Ethical issues, such as patient autonomy and data use, must be considered.

AI in healthcare raises ethical concerns. Collaborating with ethicists and philosophers can create a moral code of conduct, addressing issues like privacy, data security, and accuracy. Published concerns include algorithmic bias, data misuse, patient autonomy, and confidence in AI outcomes.

AI is rapidly emerging with applications in healthcare and smart cities. Understanding the ethical impact of AI and its decision-making process is a critical research focus. This article provides a concise introduction to AI techniques, discusses its ethics, and offers solutions to its ethical issues.

AI research lacks adequate institutional responses to criticisms and responsibility relating to its impacts on society. A feedback panel called the Ethics and Society Review board (ESR) has been developed to address these concerns, requiring researchers to complete the ESR process to receive grant funding. The ESR commonly identifies issues of harm to minority groups, lack of diversity in stakeholders, dual use, and representation in data, and has influenced the design of research projects.

OpenAI's ChatGPT is a text-based chatbot powered by natural language processing. It has the potential to automate scholarly research and publishing, but also raises ethical concerns within the broader context of AI advancements.

Artificial intelligence can create social and moral scoring systems, but there are ethical challenges and debates surrounding its use. People have resistance towards AI moral scoring due to their belief that AI will neglect their moral uniqueness.

This paper investigates ethical issues in multi-robot cooperation and explores the application of the ECCOLA framework. The study identified ethical concerns and highlights the need for expanding the framework.

The ethical implications of advanced artificial general intelligence (AGI) must be carefully considered to ensure responsible development and deployment. AGI raises questions about job displacement, inequality, decision-making, safety, and governance. Ethical frameworks, transparency in decision-making, and collaboration are crucial for addressing these concerns.

The rapid integration of AI into education has raised ethical concerns due to students misusing the technology. Addressing these issues is crucial to preserve critical thinking skills and autonomy. Proposed policies aim to maximize the benefits of AI in educational institutions.

Precision medicine aims to provide personalized therapy considering benefits and risks. Current mathematical models lack fidelity and real-time representation, hindering their clinical application. Digital twin models based on research data and physiological properties are proposed as a solution.