id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
iaajah-6305	Chinda Clifford Linus; John Markus	NAVIGATING THE ETHICAL LANDSCAPE OF ARTIFICIAL INTELLIGENCE: ACCOUNTABILITY, BIAS, AND HUMAN-CENTRIC DESIGN	2025	8	.pdf	application/pdf	3405	186	32	By providing clear explanations for AI decisions, organizations can better address concerns about bias and errors, fostering trust and accountability in AI systems (Novelli, 2024) Finally, the research emphasizes the principles of human-centric design, advocating for the development of AI systems that prioritize human values and welfare.	cache/iaajah-6305.pdf	txt/iaajah-6305.txt