AGI Definitions: A Battle of Perspectives and Governance

Artificial general intelligence (AGI) remains a hotly debated topic in the tech world. Some claim it's here, others say it's decades away. But what if both camps are right? The core issue is that 'AGI' lacks a universally accepted definition. This ambiguity isn't just academic, it has real-world implications for AI governance and design.

Introducing DAF-AGI

A recent paper presents DAF-AGI, a conceptual framework aimed at resolving these definitional disputes. This isn't about proving AGI's existence. Instead, it introduces criteria to test if a given definition holds up under scrutiny. Why does this matter? Because without clarity, we can't govern AGI effectively.

The framework consists of five criteria for assessing definitions, coupled with a governance audit. This audit examines authorship, interests, certification, external verification, and revision authority. Essentially, it's a blueprint for holding AGI definitions accountable.

A Clash of Measurement Families

DAF-AGI was tested against various measurement families, including psychometric and skill-acquisition approaches. A bold claim was examined: current generative systems are AGI because they outperform educated adults on many tasks. Yet, only the performance-based metric could potentially certify it. Others, like capability-ontology, didn't agree. The economic family stayed on the fence, and some refused binary adjudication.

This isn't just academic navel-gazing. AGI definitions impact how technologies are certified and integrated into society. Who decides what counts as AGI? Should it be left to tech giants, or do we need an international body governing these standards?

Definitional Sovereignty: The Next Frontier

The paper also introduces the concept of 'definitional sovereignty', a subset of 'algorithmic sovereignty'. This suggests that institutions should have the power to contest and revise technological definitions under public scrutiny. It's a call for transparency and accountability.

In an era where AI is poised to transform industries, the governance of what we call AGI must be solid and transparent. The DAF-AGI framework offers a structured approach to navigate this complexity. But will nations embrace this governance model, or will tech companies continue to call the shots?

The key contribution: a novel integration of criteria and governance. Yet, the work is far from done. Independent application and further testing are needed to ensure this framework can hold up in diverse real-world scenarios. The ablation study reveals gaps, but it's a solid step toward clarity.