Make a tax-deductible donation to support CEDA's agenda and help accelerate change
Policymakers need to deepen the efforts to align their approaches, develop international standards and promote ethical principles that ensure AI is developed and deployed for the greater good.
Artificial intelligence is transforming our world at an unprecedented pace, reshaping industries, economies and societal norms.
In the past year, we have seen AI advance rapidly, from generative models that create text and images to AI-driven automation across sectors such as healthcare, finance and education. These technologies are redefining what is possible in diagnosing diseases, optimising supply chains and improving personalised services, while also presenting new challenges around ethics, privacy and governance.
However, the remarkable potential of AI to solve complex global challenges is accompanied by concerns about its unintended consequences. As AI technologies become more sophisticated, questions about data privacy, algorithmic bias and transparency have become central to discussions about their responsible use. Balancing the benefits of AI with these risks requires a coordinated and thoughtful approach to governance.
Governments around the world are recognising the urgency of addressing regulatory gaps, engaging multiple stakeholders and preparing for future AI risks as they move quickly to navigate the rapid evolution and adoption of generative AI.
Policymakers are tasked with balancing the economic and social opportunities presented by these technologies with the potential risks they pose. To support this effort, the World Economic Forum’s AI Governance Alliance recently released a comprehensive publication, “Governance in the Age of Generative AI: A 360° Approach for Resilient Policy and Regulation”. This framework highlights three key strategies for effective governance.
First, the assessment of current regulatory landscapes to identify tensions and gaps created by generative AI. This involves evaluating how existing laws apply to new AI capabilities, clarifying the responsibilities of different regulatory bodies and considering whether new or centralised regulatory authorities might be needed.
Second, the promotion of a whole-of-society approach by involving not just regulators but also industry leaders, academia and civil society to ensure a broad range of perspectives in AI governance. This strategy emphasises the importance of cross-sector knowledge sharing, interdisciplinary collaboration and the adoption of responsible AI practices across various domains.
Finally, the adoption of preparedness and agility into AI strategies, using foresight mechanisms to adapt policies and regulations to emerging risks and technological advancements. This includes investing in AI skills and recruitment, conducting impact assessments and enhancing international cooperation to align standards and share knowledge.
As these governance strategies unfold, the need for a global approach to AI regulation becomes even clearer. AI technologies are inherently transnational and their impact extends far beyond national borders. To build trust, reduce regulatory fragmentation, and ensure equitable access to AI’s benefits, cross-border collaboration is essential.
Policymakers, therefore, need to deepen the efforts to align their approaches, develop international standards and promote ethical principles that ensure AI is developed and deployed for the greater good.
AI and the role of the World Economic Forum
At this critical juncture, the World Economic Forum plays a pivotal role in shaping a future where AI is harnessed responsibly and ethically. Bringing together governments, businesses, academia and civil society, the forum facilitates international collaboration, best practice sharing and the development of frameworks that address the global challenges and opportunities presented by AI.
The forum’s AI Governance Alliance is central to this effort, focusing on creating safeguards, fostering public-private partnerships and promoting equity, inclusion and global access to AI technologies.
Over the past year, the Alliance has focused on creating inclusive frameworks that enable policymakers to assess AI readiness, develop tailored strategies and bridge digital divides.
As AI continues to evolve, the necessity for international cooperation and ethical standards becomes even more critical. The World Economic Forum is dedicated to building bridges across sectors and regions, fostering a global ecosystem where AI drives sustainable, inclusive and equitable growth.
The rise of generative AI raises questions about the resilience and adaptability of the knowledge workforce, and many of these challenges go beyond mere technological adaptation. But the integration of AI also presents an opportunity for professionals to find greater meaning in work. Leaders who encourage smart experimentation, reflection and adaptation will stand out by pioneering new ways of working.
Read more Opinion article October 4, 2020Swinburne University of Technology, Centre for Transformative Innovation Director and Pro Vice Chancellor for Research Impact and Policy, Professor Beth Webster, says that the Federal Government's recently launched Modern Manufacturing Strategy shows a great deal of promise, but it will need to be implemented in a collaborative and research-backed way that takes lessons from the mistakes of the past.
Read more Opinion article May 28, 2017Siemens Chairman and Chief Executive Officer, Jeff Connolly discusses the major themes shaping future industries, prior to chairing the panel on Australia: leader or laggard in the race to secure our future industries at State of the Nation.
Read more