The AI team take a deep dive into successful innovative tools, practical and conceptual applications of systems thinking and beyond and systems engineering to various types of problems, summarizing the concepts behind the successes and usually drawing general conclusions for how the concepts may be used in other situations. The opinions expressed by the AI team in each deep dive are their own and have not been edited in any way.
While systems thinking provides an understanding of the problematic situation, you need to go beyond systems thinking to create solutions, especially innovative solutions.
Join my LinkedIn group (Tackling complex problems) and discuss the content of the podcasts (https://www.linkedin.com/groups/13991392/)
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The AI team take a deep dive into successful innovative tools, practical and conceptual applications of systems thinking and beyond and systems engineering to various types of problems, summarizing the concepts behind the successes and usually drawing general conclusions for how the concepts may be used in other situations. The opinions expressed by the AI team in each deep dive are their own and have not been edited in any way.
While systems thinking provides an understanding of the problematic situation, you need to go beyond systems thinking to create solutions, especially innovative solutions.
Join my LinkedIn group (Tackling complex problems) and discuss the content of the podcasts (https://www.linkedin.com/groups/13991392/)
The AI team take a deep dive into Tom Gilb’s presentation to the BCS in July 2024 on AI quality which advocates for a multidimensional approach to evaluating AI systems, moving beyond vague descriptions. He argues that current AI models are defective due to inherent instability and a lack of transparency. Gilb proposes using quantifiable metrics for qualities like transparency and security, incorporating a stakeholder model for a more comprehensive understanding. The presentation emphasizes the need for measurable standards to assess AI systems effectively, contrasting Large Language Models (LLMs) with the potential of Artificial General Intelligence (AGI).
The presentation slides in pdf format may be downloaded from https://www.dropbox.com/scl/fo/u1fisxhd5cyrp7iij2i98/AAYYSATm4Yt40X0t8lEJdpQ?rlkey=3n4nn6077nig6gvo5qiuu0em8&dl=0
Systems Thinking and Beyond
The AI team take a deep dive into successful innovative tools, practical and conceptual applications of systems thinking and beyond and systems engineering to various types of problems, summarizing the concepts behind the successes and usually drawing general conclusions for how the concepts may be used in other situations. The opinions expressed by the AI team in each deep dive are their own and have not been edited in any way.
While systems thinking provides an understanding of the problematic situation, you need to go beyond systems thinking to create solutions, especially innovative solutions.
Join my LinkedIn group (Tackling complex problems) and discuss the content of the podcasts (https://www.linkedin.com/groups/13991392/)
