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How Leaders Effectively Govern AI with Principles

By Betsy Burton

 

How Leaders Effectively Govern AI with Principles

In an era marked by rapid adoption of AI technologies and systems both in the workplace and outside the workplace (Think Generative AI Adoption Is In The Future? Think Again!), organizations face the daunting challenge of effectively managing and governing the use of AI while upholding privacy, ethical and responsible practices. 

This blog explores the pivotal role of principles in guiding the use of AI, shedding light on their significance, characteristics, and application.

The Essence of Principles:

The basic concept of a principle lies in the assumption that individuals inherently desire to do the right thing, even if they are uncertain about what that “right thing” entails. 

Principles, in this context, are explicit statements that offer guidance on how actions should be approached. Unlike processes or instructions, principles don’t dictate “what” or “how” to do; instead, they provide a compass for behavior within a specific context, leaving the implementation to the recipient.

Principles vs. Policies:

It’s essential to differentiate principles from policies. Policies are strict, non-negotiable rules governing behavior, while principles, such as “inclusion and respect of others,” serve as guidance on how employees are expected to treat one another. 

In essence, principles foster a culture of responsibility rather than enforcement. 

Clarity Through Antithesis:

A valuable practice in crafting principles is their ability to be represented as antitheses. This allows the author of the principle to ensure clarity. While the antithesis is typically not made public, it aids in articulating the principle with precision. 

For example, the principle of “We respond to customer’s urgent issues in less than 3 hours” gains greater clarity by acknowledging its antithesis.

The Power of AI Principles:

Principles emerge powerful tool for helping AI architects as well as business and technology leaders provide guidance for how users and developer should leverage AI. They enable leaders to chart a course for AI integration, empowering employees, fostering knowledge, and ensuring ethical deployment. 

In a world of dynamic AI possibilities, principles become the compass guiding organizations to harness the full potential of this transformative technology.

Bottom Line

The value of defining principles is that leaders can guide the usage of AI, while also empowering, teaching, and developing a more knowledgeable employee base.

Aragon Research clients can download a toolkit that provides samples of principles for the adoption, use and management of AI technologies and systems.

By crafting well-defined principles, leaders empower their workforce, enhance organizational culture, and decrease risks, while maintaining a competitive edge. 


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>>Blog 1: What is AI Architecture?<<

>>Blog 2: AI Accelerates the Need for Integrative Architecture<<

>>Blog 3: Think Generative AI Adoption Is In The Future? Think Again!<<

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