Climate Confident - Practical Climate Solutions That Cut Emissions
Climate Confident is for business leaders, climate professionals and policymakers who need to understand what is actually cutting emissions—and what it takes to make those solutions work at scale.
Each Wednesday, I speak with the executives, engineers, scientists, founders and policymakers turning climate ambition into measurable progress. Together, we examine the technologies, business models, policies and implementation strategies reshaping energy, transport, industry, supply chains, food and finance.
These are not conversations about distant targets, vague pledges or greenwash. They are candid discussions about what is working, what is failing, where the real bottlenecks lie, and how leaders can make better decisions about decarbonisation, resilience, investment and risk.
You will hear:
- Proven approaches to reducing emissions
- Hard-earned lessons from real-world implementation
- Analysis of the markets, technologies and policies driving the transition
- Honest examination of costs, trade-offs, setbacks and unintended consequences
- Practical ideas for turning climate commitments into action
New episodes are published every Wednesday at 7am CET. Subscribers also receive bonus episodes featuring highlights, analysis and emerging themes from across the series.
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Climate Confident - Practical Climate Solutions That Cut Emissions
Inside the AI Lab Taking on Climate Misinformation
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In this episode of the Climate Confident podcast, I’m joined by Angel Hsu, associate professor at UNC Chapel Hill and founder of the Data-Driven EnviroLab. We dive deep into how AI can be used to combat climate misinformation and bring real accountability to climate pledges.
Angel and her team have built two domain-specific AI tools, ChatNetZero and ChatNDC, designed to help policymakers, researchers, and business leaders navigate the chaos of climate targets, national climate plans, and net zero claims. Unlike generic chatbots, which often hallucinate facts or pull from questionable sources, these tools are trained on verified, climate-specific datasets and come with built-in safeguards against misinformation.
We also unpack why generic AI tools like ChatGPT fall short in this space, how climate policy is lagging behind AI innovation, and what it’ll take to close that gap. Angel shares insights from her work with the Net Zero Tracker, the IPCC, and her current NSF-backed initiative to boost AI integrity in climate mitigation.
If you’re in policy, sustainability, or just trying to make sense of what’s greenwashing and what’s not, this episode is packed with actionable insights.
Listen now to learn:
- Why domain-specific AI beats generic models in climate accuracy
- How ChatNetZero flags weak net zero targets
- What policymakers can do today to use AI responsibly
- Why transparency in data, and in AI, is non-negotiable
For more, about Angel, and her team's work, visit https://datadrivenlab.org/
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