AI Safety: How do we reduce harm and navigate bias in AI? @ibmresearch
AI Safety: How do we reduce harm and navigate bias in AI?  @ibmresearch
Uploaded March 2026 | Updated September 2026, 1 week ago
IBM Fellow Kush Varshney, introduces “Risk Atlas Nexus” –  is a community-driven hub from IBM Research that brings together AI governance resources—like datasets, benchmarks, and risk mitigations—into one clear, organized place.

Built on the IBM AI Risk Atlas, it uses a knowledge graph to connect and explain these resources, turning high‑level AI risks into practical steps developers can use. It also serves as a starting point for an open, community‑built AI systems ontology focused on risk, making it easier for anyone to contribute tools and build more transparent, accountable AI systems. research.ibm.com/blog/map-measure-manage-gen-ai
AI Safety: How do we reduce harm and navigate bias in AI?Introducing Qiskit SDK v1.0Introducing the AI Steerability 360 ToolkitHow IBM tests quantum processorsIBM and Forrester Discuss the Growing Landscape of AI for CodeIBM to achieve fault-tolerant quantum computing by 2029The Short: Intro to AI alignment, What is Quantum Utility?, Thanksgiving leftovers lead to LASIKWhy NASA and IBM made a new AI model that predicts the Suns damaging flaresA new supercomputer to train Granite AI modelsA decade of quantum on the cloudBuilding Towards Quantum Centric SupercomputingIBM Fellow and Quantum Pioneer Charles H. Bennett Receives A.M. Turing Award
IBM Research |

AI Safety: How do we reduce harm and navigate bias in AI?

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER