MKAI Forum Insights: AI and the Future of Jobs – Unveiling Emerging Realities and Prospects

Milton Keynes, England, 12 JUNE 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 Critical Discussion on AI and the Future of Jobs

MKAI recently hosted a significant forum at Regent’s Park Centre, London, in partnership with Capital City College Group. The event aimed to advance the dialogue beyond surface-level discussions, focusing on the genuine implications of AI on employment and societal dynamics.

Addressing Core Issues

The often-repeated claim that “AI creates more jobs than it displaces” was rigorously examined. The session aimed to provide a nuanced understanding of job displacement versus job creation, scrutinising optimistic predictions and acknowledging the complexity of this transition. Historical parallels, such as the decline of the mining industry, served as cautionary tales highlighting the need for comprehensive strategies to manage this shift.

Key Focus Areas

  1. Job Displacement and Creation: Participants evaluated the balance between job loss and job creation, stressing the importance of considering the long-term impacts on various job sectors.
  2. Skills Gap: The forum highlighted the widening gap between current educational outputs and the skills needed in an AI-driven economy, calling for significant educational reforms and upskilling initiatives.
  3. Equitable Access: Discussions centred on ensuring fair job opportunities in the evolving employment landscape, promoting inclusivity and fairness.

Debunking AI Misconceptions

Participants debunked several misconceptions about AI, including the overestimation of job creation and the disparity between high-skill and low-skill job impacts. Concerns about the erosion of emotional intelligence and the moral implications of AI in creative industries were also discussed. Instances where AI solutions were reverted to human-driven processes underscored the need for thoughtful implementation of AI technologies.

Emphasising Dignity in Work

The forum also addressed the inherent dignity of work, challenging the notion that all repetitive tasks are undignified. This perspective is essential in understanding the value of such roles for individuals and society.

Moral and Ethical Considerations

The discussions highlighted the need for clear ethical guidelines and moral red lines in AI development, emphasising responsible and ethical AI deployment. Participants called for regulations to control AI use in sensitive areas to prevent potential societal harm.

Acknowledgements

We extend our heartfelt thanks to all participants for their active engagement and insightful contributions. Special thanks to the organising team from MKAI, Capital City College Group, and Skills Academy Digital Hub. Your commitment was evident in every aspect of the event, contributing significantly to its success.

About MKAI

Founded in 2019, MKAI (Morality and Knowledge in Artificial Intelligence) is dedicated to enhancing AI comprehension and strategic thinking within academic institutions. Our mission is to deepen AI literacy and ensure leaders engage in informed, positive discussions about AI’s role. We provide expert guidance, emphasising ethical considerations and sustainable AI practices, to empower academic leaders and educators.

As a facilitator of emergent AI conversations, MKAI blends expertise with a forward-thinking approach. Our commitment to inclusive and conscientious dialogue ensures that the academic sector not only adapts to AI advancements but also shapes its ethical and beneficial use in education.

Read the Full Overview

For a comprehensive understanding of the discussions and actionable insights from the forum, read the full overview .

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.

Resources