Skip to content

Main Insight

The Future Society's chapter 'Global Governance of Artificial Intelligence' discusses challenges and pathways toward the responsible adoption of AI for the benefit of humanity.

Our work / Global AI Governance /

Global Governance of Artificial Intelligence, Handbook of Artificial Intelligence and Robotic Process Automation

March 7, 2021

The chapter ‘Global Governance of Artificial Intelligence’ is authored by Nicolas Miailhe and Yolanda Lannquist in the new book Handbook of Artificial Intelligence and Robotic Process (2021) published by Anthem Press. This chapter raises important considerations and pathways for the responsible adoption of AI for the benefit of humanity.

Anchored in the wider digital revolution, Artificial Intelligence (AI) is poised to transform the economy, society, geopolitics and the global political orders we know today. The AI revolution’s impact inextricably combines very substantive opportunities (e.g. AI for Good) and serious societal risks (e.g. unemployment, bias, privacy, safety). The prospect to shape AI development towards capturing these opportunities and minimizing the risks will depend on both national-level policy, industry practices, and international coordination and collaboration. However, a global governance approach must consider the unique dynamics and challenges present in AI development. This chapter presents some of the main challenges and dynamics in AI governance and novel global governance approaches to help ensure safe and inclusive AI that benefits society broadly.

Book description: On the commercial side, artificial intelligence applications are powering many sectors. Globally, governments are exploring ways to comprehend, incorporate, apply, and use artificial intelligence technologies. This innovative, forward-looking book assembles the viewpoints of global experts and thought leaders on key issues relating to AI and government policies.

Book flyer: https://anthempress.com/media/pdf/9781785274954.pdf

Find the book on Anthem Press’ website: https://www.anthempress.com/handbook-of-artificial-intelligence-and-robotic-process-automation-hb

Related resources

What Is an Artificial Intelligence Crisis and What Does It Mean to Prepare for One?

What Is an Artificial Intelligence Crisis and What Does It Mean to Prepare for One?

Our explainer defines the concept of AI crisis preparedness, exploring how an international framework could stop hazards from escalating into crises.

Read

Ten AI Governance Priorities: Survey of 44 Civil Society Organizations

Ten AI Governance Priorities: Survey of 44 Civil Society Organizations

Through our survey, 44 civil society organizations—including research institutes, think tanks, and advocacy groups—ranked ten potential AI governance mechanisms.

Read

Closing the Gap: Five Recommendations for Improving the Third Draft of the EU Code of Practice for General-Purpose AI

Closing the Gap: Five Recommendations for Improving the Third Draft of the EU Code of Practice for General-Purpose AI

The EU Code of Practice helps providers of General-Purpose AI (GPAI) Models with systemic risks to comply with the EU AI Act. Our preliminary analysis of the third draft of the Code identifies opportunities for improvement in five key areas.

Read

Weaving a Safety Net: Key Considerations for How the AI Safety Institute Network Can Advance Multilateral Collaboration

Weaving a Safety Net: Key Considerations for How the AI Safety Institute Network Can Advance Multilateral Collaboration

Our report examines how the AISI Network can be structured and strategically integrated into the broader AI governance ecosystem to effectively fulfill its mandate toward secure, safe, and trustworthy AI.

Read

Guidance on Risk Mitigation for the Open Foundation Model Value Chain

Guidance on Risk Mitigation for the Open Foundation Model Value Chain

The Future Society contributed to Partnership on AI’s risk mitigation strategies for the open foundation model value chain, which identify interventions for the range of actors involved in building and operationalizing AI systems.

Read

National AI Strategies for Inclusive & Sustainable Development

National AI Strategies for Inclusive & Sustainable Development

From 2020 to 2022, TFS supported the development of 3 National AI Strategies in Africa with public sector partners, GIZ, and Smart Africa. These programs build capacity through AI policy, regulatory, and governance frameworks to support countries’ efforts to harness AI responsibly, to achieve national objectives and inclusive and sustainable...

Read