Brighton Kaoma and Brian Clarke launch their podcast by exploring the clash between youthful idealism and seasoned wisdom, setting the stage for engaging conversations with visionary leaders on climate change, AI ethics, and the power of dialogue.
Source identity and required public metadata were editorially reviewed on 2026-09-15.
Author unknown. 2024-12-02. Introducing "This iz Why" with Brian and Brighton. https://open.spotify.com/show/6aW9DPcW5PTIhsr7jj5O9b (AI & Environment Resource Hub; record pod-0005; collection snapshot 2026-09-15).
Classification and context
Included in the original Podcast collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
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Source sheet: Podcast · Row 10 · Original ID: pod-0005.
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This study presents a behavior-driven decision framework that helps AI developers choose models balancing accuracy and environmental sustainability by quantifying energy use and emissions during fine-tuning and applying behavioral decision theories.
OpenAccess
Shared topics: Governance and society; Energy and electricity; Climate and greenhouse gases
Generative AI tools, such as DALL-E and DreamStudio, show potential in improving public engagement and energy literacy about low-carbon sources like nuclear energy, though they fall short in representing technical details, addressing biases, and accurately depicting indigenous landscapes.
Scientific Reports
Shared topics: Governance and society; Energy and electricity; Climate and greenhouse gases
This paper explores green AI as a path to environmental sustainability by promoting energy-efficient models, democratized access, eco-friendly AI applications, and regulatory frameworks to align machine learning practices with global climate goals.
ScienceDirect
Shared topics: Governance and society; Energy and electricity; Climate and greenhouse gases
Maggie Welsh and Michael Silliman discuss the synergistic relationship between AI and clean tech. Michael covers how AI drives both energy demand and solutions for climate change, and why AI innovation is slower in clean tech compared to other sectors. They also delve into challenges such as data interoperability, regulatory complexity, and venture funding.