Conversational texting transcript. Q&A with GenAI and a “human in the middle” process.

IanGilyeat

Hi George, please share with me your thoughts on Generative AI governance.

7/15/24 4:21PM

George Gilyeat

I suppose my first thought is to consider risks that organizations must now face simply by their use of AI.

7/15/24 4:39PM

IanGilyeat

You're on the right track. It's important for organizations to consider the ethical, legal, and social implications of AI technology. Establishing guidelines for responsible and ethical use of AI can help mitigate risks and build trust with stakeholders.

7/15/24 4:41PM

George Gilyeat

Thanks, but some of what I hear seem contradictory. Experts claim that we need strategies for adoption of AI. Isn't that a bit contrary to the nature and promise of AI? And by this I mean the self learning and adaptability of AI.

7/15/24 4:45PM

IanGilyeat

I understand the potential contradiction you're pointing out. While AI's self-learning capabilities and adaptability are indeed its strengths, having a clear strategy for adoption is crucial in ensuring that AI aligns with organizational goals, complies with regulations, and addresses ethical and social considerations. It's about finding the right balance between letting AI evolve and ensuring it aligns with the overall objectives and values of the organization.

7/15/24 4:46PM

George Gilyeat

Ok, so how does an organization put parameters on the ability of a system to create something new? Something that does not exist today? Is it based on goals and regulations? And if so, doesn't that in effect limit where AI can go? It effectively shuts a few doors on creativity.

7/15/24 4:53PM

IanGilyeat

Setting parameters for AI creativity involves a delicate balance. Organizations can establish guidelines and principles to ensure that AI-generated content aligns with ethical standards, legal regulations, and the organization's objectives. While this may introduce some limitations, it also serves to provide a framework within which AI can create in a manner that is considered responsible and ethical. It's about guiding AI's creative output within the boundaries of societal and organizational norms while still allowing for innovation and value creation.

7/15/24 4:54PM

George Gilyeat

Okay, does an organization have an obligation to notify customers when a response is AI generated and where does that fit within the framework or ethical considerations?

7/15/24 5:09PM

IanGilyeat

Yes, organizations do have an ethical obligation to be transparent with their customers about the use of AI-generated responses. This is essential for maintaining trust and ensuring that customers are aware of the nature of the interaction. Transparency can be achieved by clearly indicating when AI is being used, either through disclosures in communication or by including disclaimers. Providing customers with this information allows them to make informed decisions and understand the nature of their interactions with the organization.

7/15/24 5:12PM

George Gilyeat

Great, so how does this work when the PC or the phone being used is loaded and embedded with chips that are AI designed and AI dependent?

7/15/24 5:12PM

IanGilyeat

The use of AI-designed and AI-dependent chips in personal devices raises complex ethical considerations. It's important to ensure that users are informed about the AI capabilities embedded in the devices they use. Transparency and clear communication about the AI components and their functions can help users understand the technology they are interacting with and make informed decisions about their use. Organizations and manufacturers have a responsibility to provide this information to uphold ethical standards and fulfill their obligations to their customers.

7/15/24 5:12PM

George Gilyeat

Hi, is there any form of AI that is beyond our current definition of generative AI?

7/16/24 4:49PM

IanGilyeat

As of now, generative AI encompasses a wide range of AI models and techniques that are capable of producing new content, such as images, text, and music. However, it's important to note that the field of AI is rapidly evolving, and there may be developments in the future that expand the capabilities of generative AI beyond our current understanding. Advancements in AI research, particularly in fields such as deep learning and neural networks, have the potential to push the boundaries of generative AI and lead to the emergence of new and more advanced forms of AI creativity.

7/16/24 5:05PM