Responsible Artificial Intelligence: Designing Ai for Human Values

By Virginia Dignum. 2017

150 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Vinay Chamola
2. Mufti Mahmud
3. Simone Scardapane
4. Vikas Hassija
5. Atmesh Mahapatra
6. Amir Hussain
7. Abhinandan Singal
8. D. Goel

Citations in the corpus

• Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence (2023, methodology): “To ensure that the design and development of responsible AI reflect the ethical concerns of humans, we pro-pose to incorporate the above-discussed factors with the principles proposed by Dignum [185], i.e., accountability, responsibility, and transparency (ART) as depicted in Fig.”
• Trustworthy Artificial Intelligence: A Review (2022, background): “• Transparency: The transparency of an AI system refers to the need to explain, interpret, and reproduce its decisions [54].”