AI News

FEBRUARY 14, 2025

In 2025, open-source AI solutions will emerge as a dominant force in closing this gap, he explains. With so many examples of algorithmic bias leading to unwanted outputs and humans being, well, humans behavioural psychology will catch up to the AI train, explained Mortensen. The solutions?

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ESG Big Data Explainability AI 312

ODSC - Open Data Science

MARCH 7, 2025

Whether its algorithmic trading , risk assessment, fraud detection , credit scoring, or market analysis, the accuracy and depth of financial data can make or break an AI-driven solution. Ethical Considerations: Be mindful of bias in financial data, ensure transparency, and focus on model explainability.

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Data Science ESG Algorithm Data Scientist 52

O'Reilly Media

JUNE 15, 2023

Attempts to add environmental, social, and governance (ESG) constraints have had only limited impact. As long as the master objective remains in place, ESG too often remains something of an afterthought. ESG-style concerns can’t be an add-on, but must be intrinsic to what AI developers call the reward function.

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ESG OpenAI AI Modeling Algorithm 128

IBM Journey to AI blog

OCTOBER 25, 2023

The tools in watsonx.governance will also help organizations efficiently drive responsible, transparent and explainable workflows across the business. Consider sustainability goals Whether as part of formal ESG programs or corporate missions, sustainability is more than good ethics—it’s increasingly recognized as better business.

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Generative AI Automation ESG AI 243

Heartbeat

JANUARY 3, 2024

Can algorithms, neural networks, and data analytics offer tangible solutions to mitigate the climate crisis? ML can sift through this data deluge by leveraging advanced algorithms and computational methodologies, uncovering hidden patterns, correlations, and insights that may elude human analysis.

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