As Artificial Intelligence is becoming more prevalent across various industries, the ethics and humanity of AI practices have emerged as significant aspects to consider. While discussions about responsible AI are ongoing, there is a lack of clarity on how these principles are implemented in roles directly related to AI. Most current research has concentrated on overarching governance or regulatory frameworks, but there is an emerging need to examine how humane and responsible AI is integrated into daily job practices. In this PhD research you will explore the intersection of Ethical and responsible AI and practical application, emphasizing how AI practitioners are navigating the challenges of innovation, accountability, and social impact in the workplace.
In this PhD research you will answer the following research questions:
The main objectives of this projects are:
AI, Machine learning, strong programming skills and experience conducting qualitative and quantitative research.
TU Wien, 2019. Vienna Manifesto on Digital Humanism. [pdf] Available at: https://dighum.ec.tuwien.ac.at/wp-content/uploads/2019/07/Vienna_Manifesto_on_Digital_Humanism_EN.pdf [Accessed 17 June 2024].
Chancellor, S., 2023. Toward practices for human-cantered machine learning. Communications of the ACM, 66(3), pp.78–85.
Prem, E. (2024). Approaches to ethical AI. In: Werthner, H., et al., Introduction to digital humanism. Cham: Springer. Available at: https://doi.org/10.1007/978-3-031-45304-5_15 [Accessed 17 June 2024].
European Union (2024) Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending certain Union legislative acts (Artificial Intelligence Act). Official Journal of the European Union, L 1689, 12 July. Available at: https://eur-lex.europa.eu/eli/reg/2024/1689/oj [Accessed 17 December 2024]
Explore our qualifications and courses by requesting one of our prospectuses today.