Simor Consulting
Category: AI Ethics
A hiring manager at a large tech company told me they had four hundred engineers working on their AI platform and zero people with training in philosophy, ethics, or the social sciences. When I asked
The legal system has not caught up with the practice of training AI models on copyrighted data, and the people building AI systems are not waiting for it. Models trained on books, articles, code repos
AI increasingly powers high-stakes decision systems across industries. Organizations deploying AI-powered decision systems face complex questions about fairness, transparency, privacy, and accountabil
# Responsible AI: Bias Detection and Mitigation AI systems influence critical decisions in healthcare, finance, hiring, and criminal justice. When these systems produce unfair outcomes, they can perp
ML models require data to train effectively, but this data often contains sensitive personal information. Privacy-preserving ML (PPML) techniques enable organizations to build effective models while s