AI for All: Operationalizing Diversity and Inclusion Requirements for AI Systems

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<div class="span index">1</div> <span><a class="" data-remote="true" data-type="html" href="/series/b2b-agility-with-greg-kihlstrom-martech-e-commerce-customer-success">B2B Agility with Greg Kihlström™: MarTech, E-Commerce, & Customer Success</a></span>

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B2B Agility with Greg Kihlström™: MarTech, E-Commerce, & Customer Success

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B2B marketing strategy grows ever more complex, with marketers needing to understand strategy, marketing technology, e-commerce, customer success, and more. This show covers it all, from a Business-to-Business perspective. From the creators and host of the award-winning The Agile Brand with Greg Kihlström podcast, comes B2B Agility™, a podcast focused on how B2B marketers and the brands they represent become category leaders and drive optimal results for the business and their customers. The show looks at B2B success in a variety of ways, all with a focus on the intersection of sales, marketing & technology.

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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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AI for All: Operationalizing Diversity and Inclusion Requirements for AI Systems

Tech Stories Tech Brief By HackerNoon

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AI for All: Operationalizing Diversity and Inclusion Requirements for AI Systems

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AI for All: Operationalizing Diversity and Inclusion Requirements for AI Systems