Sweet & Bitter — Positive and Negative Impacts of AI

How artificial intelligence is changing mental health, ethics, the environment and society — research-backed articles covering both the benefits and risks of AI.

Sweet & Bitter AI Ethics

Artificial intelligence and data analytics in human talent management

Introduction Digital transformation has reshaped human talent management, with Artificial Intelligence (AI) and Data Analytics emerging as key tools for optimizing recruitment, retention, performance evaluation, and employee development. Despite growing interest, the literature remains fragmented ac

Čen 11, 2026
Sweet & Bitter AI Ethics

Streamlining Compliance: Automated Active Directory Group Management for Financial Institutions; Algorithmic Fairness and the Social Construction of Merit in AI-Based Hiring

Working at a global investment firm like T. Rowe Price means following very strict rules about who can access what data. Managing Active Directory (AD) groups was difficult because there was not a single automated, centralized interface, but rather a single text file on a physical server that had to

Čen 6, 2026
Sweet & Bitter AI Ethics

IDEAFix: An Evaluation Framework for Creative Defixation Prompting in LLMs

Dataset Card for Dataset Name This dataset accompanies the paper: "IDEAFix: An Evaluation Framework for Creative Defixation Prompting in LLMs," submitted to NeurIPS 2026. Dataset Details Dataset Description IDEAFix is a controlled evaluation dataset for studying divergent thinking and creative idea

Kvě 27, 2026
Sweet & Bitter AI Ethics

IDEAFix: An Evaluation Framework for Creative Defixation Prompting in LLMs

Dataset Card for Dataset Name This dataset accompanies the paper: "IDEAFix: An Evaluation Framework for Creative Defixation Prompting in LLMs," submitted to NeurIPS 2026. Dataset Details Dataset Description IDEAFix is a controlled evaluation dataset for studying divergent thinking and creative idea

Kvě 26, 2026
Sweet & Bitter AI Ethics

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. However, current understanding of how to establish trustworthy human-AI partnerships is in its infancy, despite its critical importance for implementing

Kvě 25, 2026
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