Search Results for author:
Found 6 papers, 0 papers with code
Investigating Responsible AI for Scientific Research: An Empirical Study
Scientific research organizations that are developing and deploying Artificial Intelligence (AI) systems are at the intersection of technological progress and ethical considerations.
A Vision for Operationalising Diversity and Inclusion in AI
The growing presence of Artificial Intelligence (AI) in various sectors necessitates systems that accurately reflect societal diversity.
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems
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.
Challenges and Solutions in AI for All
Artificial Intelligence (AI)'s pervasive presence and variety necessitate diversity and inclusivity (D&I) principles in its design for fairness, trust, and transparency.
Exploring Qualitative Research Using LLMs
We compared the results with human classification and reasoning.
Requirements Engineering Framework for Human-centered Artificial Intelligence Software Systems
[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.
