Navigating the Landscape of AI Ethics and Responsibility

Artificial intelligence (AI) has been widely used in many fields, from intelligent virtual assistants to medical diagnosis. However, there is no consensus on how to deal with ethical issues. Using a systematic literature review and an analysis of recent real-world news about AI-infused systems, we cluster existing and emerging AI ethics and responsibility issues into six groups - broken systems, hallucinations, intellectual property rights violations, privacy and regulation violations, enabling malicious actors and harmful actions, environmental and socioeconomic harms - discuss implications, and conclude that the problem needs to be reflected upon and addressed across five partially overlapping dimensions: Research, Education, Development, Operation, and Business Model. This reflectionmay be relevant to caution of potential dangers and frame further research at a time when products and services based on AI exhibit explosive growth. Moreover, exploring effective ways to involve users and civil society in discussions on the impact and role of AI systems could help increase trust and understanding of these technologies.