AI's Future Should be in Our Hands

The future of AI is not a distant abstraction

It is time for us all to get involved shaping AI Policy.

Artificial intelligence is a pivotal technology with the potential to transform society as profoundly as the advent of the printing press or electricity. But unlike those breakthroughs, AI is evolving at breakneck speed, potentially reshaping industries, societies, and lives in ways that are both exhilarating and daunting. The decisions we make about AI today will profoundly influence the world of tomorrow. But tomorrow isn’t decades away. The future is happening now.

Only a matter of months ago, GPT-3.5 was a capable but limited tool, barely scraping by on tasks like passing the bar exam. Fast forward to GPT-4, and it not only clears the legal bar exam but excels with aplomb. This is not an isolated leap. It’s emblematic of the velocity of AI’s progress across countless domains, from medicine to manufacturing. The possibilities seem boundless. But so, too, are the stakes.

What Is AI Policy?

At its core, AI policy is the sum of decisions about how this technology is developed, used, and governed. It’s more than regulations and guidelines, it’s a comprehensive matter of choices made by governments, corporations, researchers, and individuals. These choices set boundaries and frameworks for an immensely powerful tool, boundaries that could either unlock unprecedented benefits or unleash untold risks.

We have a starting point, the European Union’s AI Act, a comprehensive legislative framework that aims to classify AI systems into risk categories, with stringent rules for high-risk applications like law enforcement and healthcare. By ensuring openness, accountability, and careful oversight, the Act aims to minimize risks while encouraging responsible innovation. Its potential impact includes setting global benchmarks for ethical AI governance and influencing similar policies worldwide. Or consider the ongoing debates within companies about whether to open-source AI models, balancing the democratization of knowledge against the risk of misuse. These are not isolated conversations. Our choices must bring together politics, ethics, and innovation, shaping the global framework of AI governance in a constant state of flux.

Why the Stakes Are Higher Than Ever

AI is what economists call a “general-purpose technology”, a transformative force akin to industrial revolution or the internet. It’s not merely automating tasks, it’s rewriting the rules of entire industries. Experts predict that within five years, AI could drive double-digit global economic growth. Yet, such rapid expansion brings challenges. Massive job displacement, for instance, is a looming concern. Hundreds of millions of jobs could be affected. How do we ensure that this upheaval benefits society as a whole and not just a privileged few?

Balancing National and Global Interests

AI governance involves a delicate balancing act between national priorities and global cooperation. Controls on AI technology, like export restrictions, highlight the challenge of balancing a competitive advantage with the global need to prevent an AI arms race. This balancing act is nuanced, while such measures aim to safeguard national interests, they also risk undermining international collaboration necessary to address shared challenges like AI safety. Global cooperation in AI policy could foster mutual trust and create frameworks for responsible innovation, potentially mitigating risks that no single nation can tackle alone. Such measures aim to protect national security but risk stifling international collaboration. Similarly, corporations face their own dilemmas: how transparent should they be with their advancements? While openness can foster innovation, it also increases the risk of exploitation.

The Ethical Tightrope

The ethical challenges of AI are as profound as its technological ones. Current challenges include unfair biases in algorithms, threats to privacy, job obliteration, and the risk of misuse. But the horizon holds even more complex questions. What happens if AI becomes sentient? What moral obligations do we have to a machine that can think and feel? These are no longer speculative musings, they are fast becoming real-world dilemmas.

A Vision for Global Collaboration

One of the most compelling proposals to navigate these challenges is the creation of a “CERN for AI.” Such an organization could be structured as an international consortium, with member nations contributing resources, expertise, and funding. Governance would rely on a multi-stakeholder model, ensuring representation from governments, academia, industry, and civil society. To maintain transparency and accountability, it could adopt open access principles for non-sensitive research and establish independent oversight committees. Its research priorities might include developing robust AI safety measures, addressing ethical concerns like bias and privacy, and exploring transformative applications of AI in areas like climate change, healthcare, and education. This approach could foster trust, drive innovation, and provide a unified platform for addressing global challenges. Much like the European Organization for Nuclear Research brought together nations to unlock the secrets of particle physics, a global AI research hub could pool the world’s brightest minds to develop AI responsibly. But such a vision is fraught with challenges, from funding to governance to equitable access. Yet, it is a powerful reminder of what’s possible when humanity collaborates for a common good.

Learning from Science Fiction

Surprisingly, science fiction offers a unique lens for grappling with AI’s societal impacts. Stories like those in the show Pantheon or the film Transcendence allow us to explore possible futures and the moral questions they raise. For instance, Pantheon delves into the ethical dilemmas of uploading human consciousness into digital realms, raising questions about identity, autonomy, and the boundaries of life. Similarly, Transcendence examines the societal upheaval and existential risks that arise when human intelligence merges with artificial systems. These narratives compel us to confront the real-world implications of AI, from governance challenges to the ethical frameworks we must establish. By engaging with these narratives, we can better prepare for the real-world implications of AI’s rise.

Building a Resilient Society

Resilience is critical for adapting to the rapid changes brought by the AI revolution. This means investing in robust social safety nets, cybersecurity, and public health measures. A resilient society is not only better equipped to weather disruptions but can also embrace AI development more openly, sharing knowledge and resources without fear of catastrophic consequences. It’s about building a foundation that supports innovation while safeguarding humanity.

Your Role in Shaping the Future

This revolution is not just for policymakers or tech giants. It’s for everyone. If you’re a developer, engineer, or data scientist, your expertise is invaluable. Advocate for ethical practices within your organization by participating in ethics committees, drafting and reviewing organizational guidelines, or initiating discussions about AI's societal impacts. For instance, you might propose implementing transparent AI auditing processes or develop frameworks to address algorithmic bias. Engage in public discourse to bridge the gap between technical complexities and societal understanding. And most importantly, stay informed and involved.

The future of AI is not a distant abstraction. It’s being shaped right now by the choices we make and the conversations we have. So let’s ask ourselves: What kind of world do we want to create with this technology? How can we ensure it uplifts rather than divides? The answers are not simple, but the stakes demand that we try.

The future isn’t some distant vision, it’s being shaped right now. No matter your position, or expertise, we must harness the imagination of humanity to work collectively and ensure it is a future that benefits everyone.

Stay curious

Colin

Image created with Ideogram