While the response speeds for the free plan are enough for most use cases, subscription and data bandwidth segment the users into different tiers. This creates a lot more implications regarding priority, experience, ease of use, environmental impact, and other criteria. 6
Figure 10: ChatGPT subscription plans
When Gen AI seems self-assured, will you ever question it? Why treat Gen AI as ‘objective’ and not experimental at this stage? 7
How can we reduce human/researcher bias; what limits (of our own) can we test and rethink with AI? 8
What role should it play for us as designers: enabler, assistant, decision-Ad, counterpart, or advisor? 9
How much power and responsibility are we willing to relinquish for efficiency? 10
Conclusion
The potential impact of generative AI on businesses, regardless of size or technological expertise, is undeniably thrilling. Executives must remain vigilant and cognizant of the emerging risks inherent in this early stage of technology development. With intentional use cases, fostering a culture of learning, a change journey, and establishing guardrails and sandboxed environments for experimentation, and creativity & design could be embedded more efficiently in every part of the enterprise.
References: Cohen. (2021, September 25). Research: Mistrust of AI runs deep, but many remain optimistic for its future. Momentive. Image References: Screenshots sourced from ChatGPT
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