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Evidence record 18428 · automatically gathered

What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research

Responsible AI (RAI) has become a central concern for technology companies, regulators, and the public. How industry practitioners interpret, implement, and sustain RAI work directly shapes the design and deployment of AI systems. As empirical scholarship examining RAI practices in industry has rapidly expanded, findings are dispersed across studies that focus on different roles, organizational contexts, and interventions. This work synthesizes current knowledge through a literature review of 16

Record details

Published: 11 August 2026
Source: arXiv
Category: Research
Topics: Regulation
Retrieved: 12 August 2026

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These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Regulation

Threat-guided Policy-aware Scene Perturbation for Safe Autonomous Driving with Online Reinforcement Learning

arXiv · 11 August 2026

Shared topic: Regulation

A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes

arXiv fairness query · 11 August 2026

Shared topic: Regulation

SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning

arXiv · 11 August 2026

Shared topic: Regulation

Inferential Capability Does Not Determine Legal Scope

arXiv · 11 August 2026

Shared topic: Regulation

IADD-TR: Intervention-Aware Dynamics Decoupling with Targeted Regularization for Model-Based Reinforcement Learning

arXiv cs.LG · 11 August 2026

Shared topic: Regulation

Longitudinal Evidence That General-Purpose Chatbots Actively Foster Relational Engagement

arXiv · 11 August 2026

How to cite this record

ethics.ai (11 August 2026), “What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research,” evidence record 18428, https://ethics.ai/record/18428 (originally published by arXiv).

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