IoT provides huge opportunities to improve private and public life while promoting business innovation and economic growth. However, the extensive use of increasingly more data (Big Data), the growing reliance on algorithms in automatic communication and processing (including machine learning), as well as the gradual reduction of human oversight over many decisions pose pressing ethical issues of privacy, trust, transparency, and responsibility. If these issues are overlooked, underestimated or left unresolved, they risk hindering the innovation and the progress that IoT can bring to society at large and to future generations. This stream project will map the range of ethical issues that may challenge IoT technologies and outline the agenda for the development of the conceptual framework to address them successfully.
- Analysis, design principles, and policy recommendations to foster responsible development of IoT technologies;
- Landscaping meta-analysis on the: Ethics of Data in IoT; Ethics of Algorithms in IoT; Ethics of Practises.