AI Overview
1 minute read
18
Overview of AI Insights
to stimulate your RimaginAItion
What | Description |
|---|---|
Leadership in the age of AI is a profound challenge that requires leaders to actively engage with the technology to shape strategy, culture, and decision-making in a world where humans and intelligent systems work side-by-side | |
A cyclical process of Trial, Explore, Reflect, and Apply that you can use to structure your own leadership learning and development for GenAI by internalizing new behaviors and thinking in small, incremental steps | |
A model outlining five essential capabilities for a GenAI-savvy leader—Co-Thinking Mindset, Limits of AI, Exposure to AI, Attention to Behavior & Culture, and Reclaiming Time—designed to guide their personal transformation in the AI era. | |
An interconnected ecosystem of eight essential characteristics that a GenAI-savvy organization must build to successfully embed AI into its strategy, operations, and culture. | |
The online TERA template available from www.RimaginAItion.de can be used to help structure the process of a personal TERA cycle, guiding you to record key information for each step. | |
A transformation framework that combines the iterative TERA learning engine (Trial, Explore, Reflect, Apply) with the strategic LENS map (Leadership & Strategy, Enablement, Networks & Infrastructure, Stewardship) to guide and focus GenAI change initiatives. | |
The principle that ethical and responsible leadership and governance is a strategic asset for GenAI deployment, encompassing sustainable practices, transparency, trust, employee engagement, and broader societal implications. | |
Overview of how to mature an organization's ethical AI capability from Level 0 to 3 by using iterative TERA cycles to systematically progress from raising initial awareness and establishing foundational governance, to formalizing and embedding ethical AI principles, into the company's core culture. | |
An overview for leaders of how to systematically build AI competence in your organization. |