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Proposed Guidelines for the Responsible Use of Explainable Machine Learning
Posted by Mark Field in Business & Finance Research and Impact of Artificial Intelligence on Financial Services

Machine Learning

Artificial Intelligence

Machine Learning

Explainable machine learning (ML) enables human learning from ML, human appeal of automated model decisions, regulatory compliance, and security audits of ML models. Explainable ML (i.e. exp....
EHRs Connect Research and Practice: Where Predictive Modeling, Artificial Intell ...
Posted by Mark Field in Business & Finance Research and Impact of Artificial Intelligence on Financial Services

Artificial Intelligence

Databases

Machine Learning

Objectives: Electronic health records (EHRs) are only a first step in capturing and utilizing health-related data - the challenge is turning that data into useful information. Furthermore, E....
The Role of AI in Financial Forecasting: ChatGPT's Potential and Challenges
Posted by Mark Field in Business & Finance Research and Impact of Artificial Intelligence on Financial Services

Statistical Finance

Artificial Intelligence

Computers and Society

The outlook for the future of artificial intelligence (AI) in the financial sector, especially in financial forecasting, the challenges and implications. The dynamics of AI technology, inclu....
Rolling in the deep of cognitive and AI biases
Posted by Mark Field in Business & Finance Research and Impact of Artificial Intelligence on Financial Services

Artificial Intelligence

Computers and Society

Nowadays, we delegate many of our decisions to Artificial Intelligence (AI) that acts either in solo or as a human companion in decisions made to support several sensitive domains, like heal....