Centre for Digital Inclusion

MKAI: Championing empowerment, diversity and inclusion in AI

The World Economic Forum has reported the gender gap in AI professionals to be more than three times and has expressed concern that “unless women are encouraged to enter the field of science, technology and engineering, the gender skill gap could widen”.

MKAI believes that it is necessary to mobilise women on a mass scale and include them as part of AI development, from research to product launch. We understand the extend of the AI gender gap and the urgency required to make the AI industry inclusive. We believe that addressing the barriers women face in AI will help to make the benefits of the technology more equitable and inclusive. To further our aims, MKAI hosts monthly women-only events to promote gender diversity within AI and help identify and remove barriers that prevent women from advancing to leadership roles. MKAI has joined forces with UN Women to implement the "Women's Empowerment Principles", a set of standards intended to drive real change and empower women leaders.
We are inclusive to anyone who supports our cause regardless of gender identity or technical background.

MKAI Digital Inclusion programmes:

Championing Women’s Empowerment

MKAI hosts quarterly events to promote gender diversity within AI and help identify and remove barriers that prevent women from advancing to leadership roles. MKAI has joined forces with UN Women to implement the "Women's Empowerment Principles".

Catalysing Organisational Diversity

MKAI provides consultancy for organisations to help them understand and implement the value of diversity in their teams and build a culture of inclusion even in different working formats, like remote or hybrid.

Fighting the Digital Divide

Education is a barrier to inclusion, as many people don’t have access to traditional courses at universities or schools. MKAI is looking for partnering with academic institutions, NGOs and government initiatives to provide consultancy and enable online courses to empower and provide knowledge to people and qualify them to work in the AI field.

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