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AI for All: Operationalizing Diversity and Inclusion Requirements for AI Systems
This story was originally published on HackerNoon at: https://hackernoon.com/ai-for-all-operationalizing-diversity-and-inclusion-requirements-for-ai-systems.
Explore the importance of incorporating diversity and inclusion principles in AI system development through tailored requirements engineering.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #ethical-ai-systems, #diversity-in-ai, #inclusion-in-ai, #responsible-ai-development, #diversity-requirements-for-ai, #ai-governance, #ai-fairness, #mitigating-bias-in-ai, and more.
This story was written by: @reckoning. Learn more about this writer by checking @reckoning's about page,
and for more stories, please visit hackernoon.com.
As AI systems permeate society, integrating diversity and inclusion (D&I) principles is essential to avoid perpetuating biases and inequalities. Our research addresses this by developing a tailored user story template to capture D&I requirements for AI systems, using data from comprehensive literature reviews and focus groups. This approach ensures AI systems respect ethical values and cater to diverse user needs.
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By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/ai-for-all-operationalizing-diversity-and-inclusion-requirements-for-ai-systems.
Explore the importance of incorporating diversity and inclusion principles in AI system development through tailored requirements engineering.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #ethical-ai-systems, #diversity-in-ai, #inclusion-in-ai, #responsible-ai-development, #diversity-requirements-for-ai, #ai-governance, #ai-fairness, #mitigating-bias-in-ai, and more.
This story was written by: @reckoning. Learn more about this writer by checking @reckoning's about page,
and for more stories, please visit hackernoon.com.
As AI systems permeate society, integrating diversity and inclusion (D&I) principles is essential to avoid perpetuating biases and inequalities. Our research addresses this by developing a tailored user story template to capture D&I requirements for AI systems, using data from comprehensive literature reviews and focus groups. This approach ensures AI systems respect ethical values and cater to diverse user needs.