Building AI Fairness by Reducing Algorithmic Bias
Emily Diana explores algorithmic bias in machine learning and outlines three intervention stages: pre-processing, in-processing, and post-processing to mitigate algorithmic discrimination.
Emily Diana explores algorithmic bias in machine learning and outlines three intervention stages: pre-processing, in-processing, and post-processing to mitigate algorithmic discrimination.
Wearable technology and artificial intelligence offers a transformative approach to personalized opioid use disorder treatment, when strategically deployed, can optimize care and improve outcomes, particularly in mid-risk patient populations.
Generative AI’s operational needs consume massive amounts of energy and emit huge amounts of carbon into the atmosphere. To mitigate the environmental impact and lower costs, businesses must adopt sustainable practices like clean energy, hardware efficiency, and model optimization to continue innovation.
A circular supply chain is crucial for the long-term sustainability of solar energy. Recycling valuable materials from retired solar panels reduces waste and stabilizes costs, while policies that encourage circularity and enhanced recycling technologies and strengthens the industry.
Tariffs are taxes on imported goods that aim to protect domestic industries but often come at a high cost to consumers by increasing prices and potentially harming overall economic growth.
The Inflation Reduction Act's tax credits for renewable energy projects, like Vineyard Wind, are complex financial instruments that involve tax equity partnerships, raising questions about the distribution of government subsidies between developers and banks, and highlighting the need for increased transparency and competition in the tax-equity market.