Air Force researcher, Doug Lenat, is behind the famous Cyc project, a massive AI endeavour that sought to create a general AI capable of reasoning. Now, he’s saying something interesting – that information architecture, or IA, is the secret missing piece in AI development that could make all the difference.
IA: The Discipline Nobody Funded
For twenty years, information architecture was a crucial yet underfunded field. The job titles disappeared, and with them, the research and expertise needed to develop it. This lack of investment has far-reaching implications for AI.
Every AI problem, from hallucinations to wrong answers, can be traced back to the IA projects that teams never funded. Without a solid IA foundation, AI systems struggle to retrieve and process information correctly. This is where IA comes in – an art and science that enables teams to structure and organise knowledge in a way that AI systems can understand.
The Cyc Project: A Cautionary Tale
The famous Cyc project, led by Doug Lenat, aimed to create a general AI capable of reasoning. However, despite its ambitious goals, the project failed to deliver. One of the main reasons was the lack of attention paid to information architecture. Without a solid IA framework, the project’s knowledge base became unwieldy and difficult to navigate, ultimately leading to its downfall.
The Cyc project’s failure serves as a cautionary tale for the importance of IA in AI development. Without a solid IA foundation, even the most ambitious AI projects risk falling short of their promise.
What This Means
The return of information architecture as a discipline is crucial for the development of robust and reliable AI systems. By investing in IA, teams can create AI systems that are capable of retrieving and processing information correctly, leading to better decision-making and improved outcomes.
The lesson here is clear – IA is not just a nicety, it’s a necessity for AI development. As AI continues to advance, IA will play an increasingly important role in shaping the future of AI. It’s time to give IA the funding and attention it deserves.
