Davos 2024 witnessed a shift in the discourse surrounding artificial intelligence, where it became evident that the AI future should not be viewed through a narrow lens. Being in Davos amid the buzz of discussions at the prestigious event was invigorating as you could sense the coming changes and the excitement surrounding AI. Discussions revealing nuanced views of the future to illuminate the path forward in harnessing this technology, especially in terms of governance and regulation.
Contrary to the narratives of AI’s existential risks in the last few years, a more balanced and welcoming perspective has emerged. Tech leaders have come together unanimously to agree that while disruption is inevitable, there is ample time for thoughtful adaptation. The prevailing theme at Davos centered on a deliberate and people- centric approach to navigate the journey forward for AI while unanimously agreeing that it will transform life as we know it.
As the trajectory is molded, leaders recognize the need for differentiation among various models and applications within generative AI. Drawing from existing regulatory frameworks in fields such as finance, healthcare, and aviation, experts at Davos emphasized the importance of tailoring these regulations to suit the unique characteristics of AI with sector specific designs.
As AI continues to capture the fears and hopes of society not only at Davos 2024 but also in the broader business and technological landscape, here are a few key takeaways from Davos discussions that provide a deeper understanding of the steps ahead:
Pioneering the Quantum Frontier: AI’s Intersection with Quantum Computing
Quantum computing took center stage as a transformative technology with far- reaching implications. SandboxAQ, led by CEO Jack Hidary, stands at the forefront of this quantum revolution, emphasizing the need to prepare for the imminent quantum economy. While we often view quantum computing as an emerging technology, its applications in sensing, navigation, and communications are already a reality. By 2030, it is expected to wield a global economic impact similar to AI. The consensus among experts, including Joël Mesot, President of ETH Zurich, underscores the importance of cultivating a workforce that can harness the potential of quantum computing in the years ahead. In response to the quantum wave, the World Economic Forum released a blueprint guide to guide policymakers, industry leaders, and academia in building a quantum ecosystem that benefits all, echoing Jack Hidary’s sentiment that a “quantum divide” should not be allowed to emerge, reminiscent of the digital divide of the past.
Harnessing Space Technology for a Sustainable Future
Space technology was discussed at length, with a focus on addressing the top global risks related to climate change. William Marshall, CEO of Planet Labs PBC, highlighted the revolutionary data generated by earth imaging systems, offering insights into sustainability. AI amplifies these capabilities, enabling scenario simulations for climate risk management. Josef Aschbacher, Director-General of the European Space Agency, emphasized the fusion of AI and earth-system models for such simulations. Sustainability in space was also a key topic, given the expected proliferation of satellites by 2030. Effective frameworks like the International Telecommunication Union (ITU) are managing space activities. Progress was noted in space debris management and disposal strategies, though further action is needed. Speakers in the session on space competition agreed on sustainability criteria for satellite launches and principles against anti-satellite tests, emphasizing the need for global cooperation.
Redefining the Workplace with AI
The narrative surrounding AI has evolved significantly, shifting from concerns of job displacement to a focus on how AI can enhance our work lives. Wellpay.AI, under the visionary leadership of CEO Cynthia Abbott Kerr, is at the forefront of this transformation. Cynthia’s groundbreaking products are revolutionizing workplaces, offering employers the tools to make informed hiring decisions and create fair pay structures, ultimately fostering a culture of trust and transparency. Her dedication to promoting diversity, especially women in leadership roles, highlights the ethical path to harnessing AI’s potential for a more inclusive and equitable future.
