Services for Companies
“As we move beyond the extractive economy, the focus for business leaders is shifting to inclusive, open and sustainable paradigms. In a world so fraught with problems, trust is the new currency of the 21st century.”
Richard Foster-Fletcher, Chair MKAI
In our algorithm-driven world, the risks are high for artificial intelligence (AI) to marginalise, exclude or harm specific individuals. The risk implicit in the technologies we are supposed to trust has been exposed through high-profile failures in artificial intelligence (AI) and autonomous systems.
Algorithmic bias and injustice are prominent topics in AI ethics and machine learning conversations, and for good reason; racist chatbots, facial recognition algorithms that fail women, companies (incorrectly) claiming to know if you're lying and AI-based benefits systems plunging at-risk citizens into debt.
An unintended but substantial ethical gap has infiltrated artificial intelligence models.
MKAI works with business leaders to promote a culture of understanding and accountability around artificial intelligence and develop shared language. Rather than believing that existing AI ethics frameworks can be embedded into your business, we, instead, work together with our clients to appropriately orientate your moral compass. We do this through knowledge sharing, appreciative inquiry, respectful dialogue and debate and reflection on practices and culture.
If you would like to learn more about MKAI, please fill in the form below and we will be in touch to arrange a conversation.
MKAI Services for Companies
Morality and knowledge in AI
MKAI works with business leaders to promote AI understanding and accountability, develop shared language, and appropriately orientate their moral compass.
Ethical AI Discussion Workshops
MKAI has a unique and accessible approach to helping business leaders to grasp the complexity, implications and significance of ethics in AI.
Diverse Perspectives
The MKAI Community harnesses diverse perspectives and unique lived experiences, at scale, to identify and mitigate AI risks and harms. The community provides vital perspectives to companies about the potential harms, mistakes or manipulation that could arise from their use or development of AI.
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