AI: The Next UI Paradigm and the Critique of Formal Education

AI: The Next UI Paradigm and the Critique of Formal Education

In the world of technology, user interface (UI) paradigms have evolved over the years, shaping the way we interact with computers and software. The graphical user interface (GUI) has dominated the UX world for the past four decades, but now, there is a new contender on the horizon - artificial intelligence (AI). This has led some to question whether AI will be the first new UI paradigm in 60 years. However, there are doubts about the usability of AI systems within the intent-based outcome specification paradigm, especially for those who are accustomed to GUIs.

The current UI paradigm is based on command-based interaction, where the user and the computer take turns giving commands. This paradigm has been the foundation of computing for over 60 years, from command lines to GUIs. GUIs have been particularly successful because they provide a visual representation of the system's status after each command. However, AI systems are introducing a new UI paradigm - intent-based outcome specification.

In the intent-based outcome specification paradigm, the user tells the computer the desired result without specifying the steps to achieve it. This paradigm completely reverses the locus of control, removing the need for turn-taking or gradual progress. It represents a shift towards more autonomous AI systems that can understand and execute tasks based on high-level instructions. While this paradigm has its advantages, such as increased efficiency and automation, it also raises concerns about the lack of user interaction and control.

One of the challenges with AI systems is achieving high usability. While intent-based interactions can be efficient, they may not be intuitive for all users, especially those who are used to GUIs. Clicking things on a screen has become an essential aspect of user interaction, and it should not be overlooked. To address this, future AI systems may adopt a hybrid UI that combines elements of intent-based and command-based interfaces, while still retaining GUI elements.

Another aspect to consider is the role of user research in improving the usability of AI systems. Currently, there is a lack of support for gradual refinement and interaction with AI systems. This presents an opportunity for AI vendors to invest in user research and discover better ways for average humans to control their systems. By understanding user needs and preferences, AI systems can be designed to provide a more intuitive and user-friendly experience.

While AI may be the next UI paradigm, it is important to also question the existing paradigms in other fields. Ivan Illich, a prominent critic of formal education, argued that schools confuse process and substance, leading to a misguided understanding of education and learning. He believed that the focus on institutionalized education undermines the true purpose of learning and limits individual freedom.

Illich's critique of formal education resonates with the idea of conviviality - individual freedom realized in personal interdependence. He advocated for deinstitutionalization and more convivial forms of education that prioritize individual needs and interests. He proposed the concept of educational webs, which include reference services to educational objects and peer-matching to facilitate access to resources and knowledge sharing. These ideas challenge the traditional notion of schooling and emphasize the importance of informal and incidental education.

However, it is essential to recognize the limitations of Illich's critique. His analysis may have overestimated the influence of schools compared to other societal factors like families, media, and job structures. While schools play a role in shaping education, they are not the sole determinant of learning outcomes. To create a truly deschooled society, it is necessary to address the broader institutional and structural issues that impact education.

In conclusion, AI represents a potential new UI paradigm that challenges the dominance of GUIs. While intent-based outcome specification has its benefits, it also raises concerns about usability and user control. A hybrid UI that combines elements of intent-based and command-based interfaces may offer a solution. Additionally, investing in user research can help improve the usability of AI systems by identifying better ways for users to interact with them. However, it is also important to critically examine existing paradigms, such as formal education, and explore alternative approaches that prioritize individual freedom and conviviality.

Actionable advice:

1. Embrace the potential of AI as a new UI paradigm, but also consider the importance of user interaction and control.
2. Invest in user research to understand user needs and preferences, and design AI systems that are intuitive and user-friendly.
3. Challenge the traditional notions of education and explore alternative approaches that prioritize individual freedom and convivial forms of learning.