The relationship between machine learning and climate change
Machine learning can drive climate action initiatives, but its widespread use could have negative implications, according to Climate Change AI’s Priya Donti.
Machine learning can drive climate action initiatives, but its widespread use could have negative implications, according to Climate Change AI’s Priya Donti.
Climate economist Catherine Wolfram explains how the EU’s Carbon Border Adjustment Mechanism aims to level the playing field among trading partners.
Having access to a wider variety of institutional investors allows companies to better maintain access to capital, research shows.
Artificial intelligence can be useful in the workplace, but humans have to first define what success looks like, according to MIT Sloan’s Danielle Li.
Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.
Generative AI and financial data are opening up the digital economy to more consumers and small businesses, but crypto concerns remain.
Using the wrong datasets to train AI models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.
Experts say those making decisions about AI should engage proactively with policymakers and consider worker voice and well-being.
Companies need a plan for when employees use unapproved, publicly accessible generative artificial intelligence tools for work-related tasks.
Without a clear strategy, corporate sustainability efforts often represent sunk costs. New research explains how to align digital sustainability with corporate goals.