Making AI Systems Work Together is Important

Many AI projects work separately, which limits their usefulness. Experts say making AI systems work together, called interoperability, can lead to much better results. This helps businesses and public services save money and do more.
By Newsroom | Technology, Business |

Across many businesses and public services, numerous projects involving Artificial Intelligence (AI) are happening at the same time. These projects often work alone, which limits their overall usefulness. A key idea is to make these AI systems able to share information and work together, known as interoperability. Experts believe this common ground can lead to much better results from AI investments.

Interoperability and AI: Industry Perspectives and Best Practices - 1

The Challenge of Siloed AI

Many organizations are running many different AI projects. These projects often succeed in their own small area, but they don't connect with each other. This lack of connection means that the full potential of AI is not being reached.

Interoperability and AI: Industry Perspectives and Best Practices - 2

  • Isolated Successes: AI experiments frequently show positive outcomes within their specific tasks.

  • Missed Opportunities: When AI systems cannot share data or processes, the wider benefits are lost.

  • Financial Impact: Companies that focus on making their AI systems work together have seen significantly higher returns, about 3.7 times more, in terms of profits before interest, taxes, depreciation, and amortization (EBITDA).

AI as a Tool for Human Enhancement

A central idea in developing and using AI is that it should support and improve human abilities, rather than act on its own or replace people. This means AI should be built with human involvement and control throughout its entire process.

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Interoperability and AI: Industry Perspectives and Best Practices - 3

  • Augmented Intelligence: The goal is for AI to make human thinking better, not to work separately.

  • Human Oversight: It is important to design AI systems that include and balance human control, decision-making power, and accountability.

  • Core Principles: Companies are stating that AI's main purpose is to add to what humans can do.

Promoting Interoperability Through Standards and Training

Efforts are underway to encourage AI systems to be able to work together, especially in public services. This involves using AI to help different systems understand each other and providing education on AI for public sector workers.

Interoperability and AI: Industry Perspectives and Best Practices - 4

  • AI for Semantic Interoperability: Some initiatives are using AI as a way to solve challenges in how different data systems communicate.

  • Generative AI Studies: Research is being done on new types of AI, like generative AI, which creates new content.

  • Alertness in Use: It is advised that AI applications should be used with careful consideration.

  • Public Service Training: New courses are being offered to teach people working in public services about AI and how it can be used for better interoperability.

The Need for Shared Rules and Technology

There is a growing understanding that for AI to be used safely and effectively across different systems and regulations, there needs to be common ground in both the rules governing AI and the underlying technology that makes it work. This points to the need for interoperability at both the regulatory and technical levels.

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Summary of Use:

  • Article 1: Highlights the financial benefits and organizational challenges of AI interoperability, urging for shared AI services and data agreements.

  • Article 2: Emphasizes the principle of AI augmenting human intelligence and the importance of human oversight and accountability in AI systems.

  • Article 3: Discusses the role of AI in achieving semantic interoperability and introduces educational resources on AI for public services.

  • Article 4: Identifies the necessity for interoperability in AI regulations and technical standards, though specific details were not extracted.

Sources Used:

Frequently Asked Questions

Q: What is AI interoperability?
It means making different AI systems able to share information and work together.
Q: Why is it important for AI to work together?
When AI systems share, they can help businesses and public services do much better. They can also save money.
Q: How can AI systems be made to work together?
This can be done by using shared rules and technology. Training people in public services also helps.