MKAI Report: Exploring AI and the Future of Work

Milton Keynes, England, 23 APRIL 2024

MKAI’s overview, “A Real Conversation About AI and the Future of Work: Insights and Pathways,” delves into AI’s ethical considerations, its effects on employment, and the critical skills needed for the future.

MKAI Hosts Urgent Discussion on AI and the Future of Work

MKAI recently convened an urgent meeting at the South Central Institute of Technology, supported by Milton Keynes College Group, to address the inadequate narrative around AI and the future of jobs. This critical discussion with the MKAI community of leaders aimed to move beyond the typical rhetoric and delve into the real impact of AI on employment, skill requirements, and educational priorities.

Cutting Through the Usual Chatter

The often-repeated claim that “AI creates more jobs” was scrutinised. Does it really? This session was dedicated to breaking down the standard narrative, identifying gaps, and addressing the questions that truly matter about AI’s impact on work.

The Real Talk We Need

Stepping away from the hype, we focused on the grown-up questions about AI and employment. What is the real impact of AI on jobs? Which skills will actually be crucial? What should our education systems be teaching? We explored where the genuine opportunities in AI and work lie and who the government should be listening to for informed, balanced guidance.

What’s Needed Next

With jobs evolving or disappearing, what should we prioritise? This phase addressed the urgency of redefining success and failure in the context of AI. Who gets to decide these definitions? The mistrust evident in billionaires being grilled by Congress underscores the need for a broader, more inclusive decision-making process. If these decisions aren’t made wisely, they will inevitably be shaped by legislation—what then?

A short overview of this event, “A Real Conversation about AI and the Future of Work: Insights and Pathways,” captures these discussions in detail and offers a comprehensive view of AI’s impact and actionable insights for stakeholders. This overview captures the essence of our conversation, and an MKAI recommendations report will be released shortly, outlining the necessary actions for educators, government, and corporate leaders.

Special thanks to Monika Manolova, PhD, Jeremy Osborn, Henry Kafeman, Marzia A. Coltri, and Manmohan Ananandakumaran Nair for their invaluable contributions. We also extend our gratitude to Milton Keynes College for their support and to Paul Levy for his pivotal role in guiding these discussions.

Read the full overview here.

About MKAI

MKAI, representing Morality and Knowledge in Artificial Intelligence, is a leading capacity-building organisation dedicated to the ethical and responsible advancement of AI technologies. Our core mission is to foster genuine, transparent discussions on the ethical and safety considerations of AI, guided by principles of fairness, accountability, and public comprehension.

We are committed to ensuring that a diverse range of voices and perspectives are included in the narrative surrounding AI, to promote its ethical development and application for the benefit of all. MKAI provides a platform for open, meaningful dialogue, engaging both the public and private sectors in critical conversations.

MKAI is headquartered in the United Kingdom and has a leadership team from four continents. The MKAI community of more than 1,000 technology experts, academics, and enthusiasts represents over 108 nationalities. We consider our diversity to be our strength, incorporating the viewpoints of business and government leaders, civic organisations, and members of society with a limited understanding of AI. MKAI stands as a testament to equity, leveraging diverse perspectives to shape the global dialogue on ethical AI and balance the imperatives of innovation, ecology, justice, and inclusion.

MKAI stands for Morality and Knowledge in Artificial Intelligence, it serves as a capacity-building organisation focused on the ethical and responsible development and deployment of AI technologies.

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