Search
Search Results
-
Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants
Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of...
-
Promoting AI Ethics Through Awareness and Case Studies
Artificial intelligence (AI) is enabling organizations to address a range of real-world challenges in areas as diverse as global health, education...
-
Lost in translation? Conceptions of privacy and independence in the technical development of AI-based AAL
AAL encompasses smart home technologies that are installed in the personal living environment in order to support older, disabled, as well as...
-
Zombies in the Loop? Humans Trust Untrustworthy AI-Advisors for Ethical Decisions
Departing from the claim that AI needs to be trustworthy, we find that ethical advice from an AI-powered algorithm is trusted even when its users...
-
The Role of AI in SDG: An African Perspective
Artificial intelligence (AI) has revolutionized different sectors and will not be an exception in enabling the Sustainable Development Goals (SDGs)....
-
Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence
The use of artificial intelligence (AI) in hiring entails vast ethical challenges. As such, using an ethical lens to study this phenomenon is to...
-
From Reality to World. A Critical Perspective on AI Fairness
Fairness of Artificial Intelligence (AI) decisions has become a big challenge for governments, companies, and societies. We offer a theoretical...
-
Vision, body and interpretation in medical imaging diagnostics
This article explores the profound impact of visualism and visual perception in the context of medical imaging diagnostics. It emphasizes the...
-
Fairness as Equal Concession: Critical Remarks on Fair AI
Although existing work draws attention to a range of obstacles in realizing fair AI, the field lacks an account that emphasizes how these worries...
-
Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda
Companies increasingly deploy artificial intelligence (AI) technologies in their personnel recruiting and selection process to streamline it, making...
-
Challenges of Integrating AI Ethics into Higher Education Curricula in West Africa: Nigerian Universities Narrative
Artificial Intelligence (AI) is becoming pervasive. It is also an exciting field because it is making our lives much better, by doing most of the...
-
Ethical Foundations: Medical Ethics and Data Ethics
This chapter outlines basic concepts in medical ethics and data ethics. It aims to provide some kind of orientation regarding the complex issues,...
-
The Struggle for AI’s Recognition: Understanding the Normative Implications of Gender Bias in AI with Honneth’s Theory of Recognition
AI systems have often been found to contain gender biases. As a result of these gender biases, AI routinely fails to adequately recognize the needs,...
-
Human Goals Are Constitutive of Agency in Artificial Intelligence (AI)
The question whether AI systems have agency is gaining increasing importance in discussions of responsibility for AI behavior. This paper argues that...
-
Companies Committed to Responsible AI: From Principles towards Implementation and Regulation?
The term ‘responsible AI’ has been coined to denote AI that is fair and non-biased, transparent and explainable, secure and safe, privacy-proof,...
-
AI or Your Lying Eyes: Some Shortcomings of Artificially Intelligent Deepfake Detectors
Deepfakes pose a multi-faceted threat to the acquisition of knowledge. It is widely hoped that technological solutions—in the form of artificially...
-
Transparency and the Black Box Problem: Why We Do Not Trust AI
With automation of routine decisions coupled with more intricate and complex information architecture operating this automation, concerns are...
-
Optimized Skin Lesion Segmentation: Analysing DeepLabV3+ and ASSP Against Generative AI-Based Deep Learning Approach
Accurate skin lesion segmentation is an important task in dermatology for facilitating early diagnosis and treatment planning. The challenges in skin...
