no code implementations • 15 Dec 2023 • Muneera Bano, Didar Zowghi, Pip Shea, Georgina Ibarra
Scientific research organizations that are developing and deploying Artificial Intelligence (AI) systems are at the intersection of technological progress and ethical considerations.
no code implementations • 11 Dec 2023 • Muneera Bano, Didar Zowghi, Vincenzo Gervasi
The growing presence of Artificial Intelligence (AI) in various sectors necessitates systems that accurately reflect societal diversity.
no code implementations • 7 Nov 2023 • Muneera Bano, Didar Zowghi, Vincenzo Gervasi, Rifat Shams
As Artificial Intelligence (AI) permeates many aspects of society, it brings numerous advantages while at the same time raising ethical concerns and potential risks, such as perpetuating inequalities through biased or discriminatory decision-making.
no code implementations • 20 Jul 2023 • Rifat Ara Shams, Didar Zowghi, Muneera Bano
Artificial Intelligence (AI)'s pervasive presence and variety necessitate diversity and inclusivity (D&I) principles in its design for fairness, trust, and transparency.
no code implementations • 23 Jun 2023 • Muneera Bano, Didar Zowghi, Jon Whittle
We compared the results with human classification and reasoning.
no code implementations • 6 Mar 2023 • Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, Arbind Agrahari Baniya, Muneera Bano, John Grundy
[Method] In this paper, we present a new framework developed based on human-centered AI guidelines and a user survey to aid in collecting requirements for human-centered AI-based software.