How Can You Guide and Manage the Usage of AI?
The recent increase in the use of Artificial Intelligence applications and services has been dramatic. Fueled in large part due to generative AI, and particularly text ( ChatGPT, Microsoft Bing, Google Bard, etc.) and image, users, managers and executives are taking advantage of AI technologies to help them work more effectively.
We are also finding a number of large application providers delivering AI analytic capabilities, such as Salesforce, Oracle, Microsoft and Google.
At the end of the day use of Artificial Intelligence technologies and services is quickly becoming pervasive in most enterprises.
The question many leaders are facing is how do they determine how people should use AI services and technologies, and what guidance needs to be provided to users?
At today’s research community we discussed several efforts where organizations are trying to manage the use of Artificial Intelligence. For example, there are a number of legal copyright issues that are currently not well defined.
In addition, there are several universities and companies exploring the use of watermarks to identify what is AI generated and what is not.
But as Professor Soheil Feizi of the University of Maryland is discovering, washing out and removing watermarks is an easy hack – as is adding watermarks to non-AI generated content.
There are also attempts to identify AI-generated content, however many of these are in development, and require the addition of a human manager, which reduces the ability to scale to handle a large amount of content.
Technology-only control of the use of AI is unlikely to fully address the issues.
The basic concept of a business or technology principle is that people generally want to do the right thing, however they sometimes don’t know what the right things are.
A “principle” is a clearly stated statement that provides guidance for how people must approach taking action. A principle provides a clearly stated statement, a rationale and summary of implications.
This week, we released a toolkit note which provides 8 sample principles for the use of AI. These principles are intended to provide examples for how principles can be structured and should be modified for use within your business.
The key is to explore and define the principles that accurately reflect your business needs and opportunities. Thus, giving people the information, rationale, and guidance to do the right thing.
An equally important part of managing, controlling, and guiding the use of AI technologies is for business and technology leaders to articulate how and if Artificial Intelligence fits into the business vision and strategy.
It is critical that leaders explore and understand where AI can add to the business vision and future state, and where it can detract, or even harm, the ability to realize the business vision and future state. Furthermore, it is critical the business and technology leaders articulate this guidance and vision to their employees, partners and, even, customers.
Artificial Intelligence is not a technology-only issue, nor are the issues surrounding guidance, controlling, and managing the use of AI. Organizations must approach this as a holistic business, people, process, information, and technology issue.
Aragon Research is continuing to provide research at the technology, architectural land executive/leadership level. We encourage our clients to download our new Toolkit: Eight Sample Principles for The Use of AI as well as explore our Aragon Research AI Technology Arc and all our generative AI research.
Also, please feel free to schedule an inquiry with any of our analysts to discuss your organization’s specific issues and opportunities.
Adopting Artificial Intelligence-enabled technologies is as much a people, process, organization, and strategy issue as it is about technology. The best AI-enabled solution will go nowhere if it doesn’t address a future-state business need and is accepted by users. Adopting AI-based solutions requires outside-in customer, user, and business thinking; not inside-out technology first thinking. Adopting AI requires a business and future-focused architect to help guide the integration of people, process, information, solutions and AI.
- Why is an AI Architect Needed?
- How is an AI Architect Different from a Solution or Application Architect?
- What Types of EA principles should AI Architects define?