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Equity Demands More than Unbiased AI

However, the overriding key recommendation we would have is that the AI field should diversify itself. A diverse and inclusive AI talent pool, especially from under-represented communities would anticipate and build a more equitable system. This will require investment in education, mentorship, and access to opportunities. Only then will we have an environment where sophisticated systems are created by people that represent our union.

By |2024-05-15T18:56:57+00:00May 15th, 2024|AI Hiring, Community, Corporate, Programs|

impactmania’s AI bias report out on FINDHR – funded by EU

Widespread hiring practices including algorithmic hiring tools screen out many qualified candidates and artificially constrain the talent pool that companies consider, essentially “hiding” prospective workers. We conducted qualitative and quantitative experiments to test algorithmic hiring tools such as Applicant Tracking Systems (ATS).

By |2024-04-24T08:38:48+00:00January 15th, 2024|AI Hiring, Community, Interviews, Programs, Science & Tech|

impactmania selected by FINDHR for AI Hiring Initiative – EU

European initiatives such as this provide critical insights and avenues supporting disadvantaged populations, especially migrant women who are dealing with undervalued societal positions. A group continuously facing limited – or loss of opportunities, this while their new home countries require capable and competent workers.

By |2023-08-31T08:50:05+00:00August 31st, 2023|AI Hiring, Business & Economy, Community, Programs, Science & Tech|

impactmania Catches Up with Blue Latitudes – Transforming Oil Rigs to Reef

Repurposing oil platforms as artificial reefs through the RtR program not only provides an environmental benefit by reducing waste and preserving habitat, but also provides opportunities for new industry, such as offshore aquaculture, by upcycling the platform.

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