Gianni Giacomelli’s Post

What did we learn this year about where and how to use AI to augment work? So much has happened in the last year or so that it is easy to lose track of the big insights. So here's a white paper—titled "Us, Augmented"—that collects much of my recent work. Some a-ha's that make a real difference: ❶ Using AI to help humans become good beginner learners at everything ❷ Adopting a different approach to enhance the capabilities of experts, as opposed to those of beginners – thus applying AI differently to both ends of the capability distribution curve ❸ Human “3P” skills (personal engagement, process, and prompting) when engaging productively with AI ❹ Humans’ role in the transformation, both individually and in groups, shifting from “doer of the how” to “leader of the why and what” and manager (critic and quality controller) of the machine output ❺The deliberate thinking process of “human(s)+AI(s),” discovering the problem space, exploring possible solution’s categories, and, later, iterating and refining solutions ❻ Using constraints and concepts derived from existing, human-made frameworks ❼ The value of using AI machines to help humans recombine ideas ❽  Identifying to use AI not just by comparing capability with humans but also in terms of differential ability to expend effort ❾ The current unnecessarily comparatively undeveloped landscape of quality management methods and AI leadership (as compared to people leadership) practices ❶⓪ The critical importance of using AI well to improve people’s ability to function collectively in their networks ❶① The need to guide workforces proactively in developing the right skills, but also their future career narrative to avoid systemic resistance to change ❶② The imperative to reimagine our learning infrastructures away from point training and toward a continuous flow of peer-supported in-the-flow-of-work skill development ❶③ The opportunity afforded by using groups of AIs combined with groups of people and the need to focus on that vision to design AI-powered tools and processes ❶④ AI is a “system 1” thinking complementing humans’ “system 2” through exoskeletons and scaffolds, harnessing the recombinations from very different fields of quality control ❶⑤ More broadly, the opportunity to use AI well inhuman networks to make “the world know what the world knows” and boost our knowledge-based economies and societies. These and other insights find practical application in designing organizational processes and structures, as well as evolving skills, knowledge management, and collaboration infrastructures. These are “high-leverage points” in the system dynamics of companies, organizations, and ecosystems. We can design and build them. Enjoy the read, and share liberally. All feedback is invited - this is how we make this field grow. #AI augmented #collectiveintelligence #GenAI #Futureofwork