The Gen AI Frontier

Conclusion A good metaphor to think of Generative AI in terms of safety is to consider it as a powerful tool in a craftsperson's workshop.

metaphoric chainsaw (replacing people with machines).

Much like a skilled craftsperson, a user should approach Generative AI with caution, understanding its capabilities and limitations, to use it more effectively, safely, and ethically (they don’t have to be in contradiction). Another reason this metaphor works is that when you’re a craftsperson, you’re either thinking trial-and-error/experi - menting with materials/tools, and when you’re building something, you’re thinking about making things to last and things that will stand the test of time. When using GenAI, tapping into either one of these mindsets intentionally will help approach it better; with less errors, less existential threat, and reduced safety risks. Depending on where an organization chooses to play on this matrix - it will require related tools, change journeys, implications & cautions.

Let’s break that metaphor down a bit:

Powerful: Capable of more than you think at first glance; potential to create impact (both positive & harm).

Tool: It can be considered as a suite of tools that can be a facilitator or enabler for your work.

Craftsperson: While anyone can take up crafts, to be a craftsperson is a skill to hone; to identify the right tools for different tasks, to understand effort, preparation, and maintenance of the tools, the space, and oneself. Workshop: You can technically enter a workshop without safety gear and rules; but you will likely cause yourself harm and damage the space if you do; learn and consider safety as you engage with something as small as the metaphoric pin (typing a question into ChatGPT) or the

Sustainable integration of Generative AI in the workplace

EMOTION-INTEGRATED AI & CHANGE MANAGEMENT

goal aligned for users & consumers

managing threat & vulnerabilities

intuitive to people

plots, tracking

privacy, security

RESPONSIBLE AI & GOVERNANCE

de-biasing

Figure 8: Core foundations for sustained and successful implementation; going beyond what is technically feasible towards what is human & business aligned (Sourced from Fractal)

References:

Warren. (2023, February 18). Microsoft limits Bing chat to five replies to stop the AI from getting real weird. The Verge. https://www.theverge.com/2023/2/17/23604906/micro - soft-bing-ai-chat-limits-conversations

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Gresseth. (2023, January 26). ChatGPT: Plagiarism super-tool for students or AI brainstorming generator? KSLNewsRadio. https://kslnewsradio.com/1982846/chatgpt-plagiarism-su - per-tool-for-students-or-ai-brainstorming-generator/

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Harrington. (2023, May 29). Companies Using AI-Generated Images for Diversity, Instead of Real Models, Are Missing the Point at Best. The Mary Sue. https://www.themarysue.com/compa - nies-using-ai-generated-images-instead-of-models-for-diversity/

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Rubenstein. (2023, April 8). Can AI defame you? Morning Brew. https://www.morningbrew.com/daily/stories/2023/04/07/can-ai-defame-you

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Quach. (2023, March 16). AI-generated art can be copyrighted, say US officials – with a catch. The Register. https://www.theregister.com/2023/03/16/ai_art_copyright_us - co/#:~:text=US%20law%20states%20that%20intellectual,their%20outputs%20are%20not%20copyrightable

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