IBM Journey to AI blog

APRIL 11, 2023

The new rules, which passed in December 2021 with enforcement , will require organizations that use algorithmic HR tools to conduct a yearly bias audit. This means that processes utilizing algorithmic AI and automation should be carefully scrutinized and tested for impact according to the specific regulations in each state, city, or locality.

AI Strategy 277

AI Strategy Algorithm Automation AI 277

Unite.AI

OCTOBER 20, 2023

In addition, they can use group and individual fairness techniques to ensure that algorithms treat different groups and individuals fairly. Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions.

Responsible AI 283

Responsible AI Generative AI AI AI 283

IBM Journey to AI blog

FEBRUARY 8, 2023

The True Cost of Noncompliance Responsible AI requires governance Despite good intentions and evolving technologies, achieving responsible AI can be challenging. AI requires AI governance , not after the fact but baked into AI strategy of your organization. So what is AI governance?

Responsible AI 130

Responsible AI Explainability Explainable AI Automation 130

IBM Journey to AI blog

JUNE 28, 2023

Most individual omics informatics tools and algorithms focus on solving a specific problem, which is usually part of a large project. IBM delivers this to our business partners through Operating Model Transformation , Tech and Data/AI Strategy , AI at Scale and Genomics Data Architecture offerings.

Data Analysis 186

Data Analysis Data Scientist Explainable AI AI Strategy 186

Unite.AI

OCTOBER 25, 2024

In mortgage requisition intake, AI optimizes efficiency by automating the analysis of requisition data, leading to faster processing times. Fraud detection has become more robust with advanced AI algorithms that help identify and prevent fraudulent activities, thereby safeguarding assets and reducing risks.

Automation 147

Automation Explainability Responsible AI AI Automation 147

Kavita Ganesan

FEBRUARY 28, 2023

We’ve seen how the underlying data used by algorithms can impact model behaviors. EXPLAINABILITY AI explainability is the ability for AI systems to provide reasoning as to why they arrived at a particular decision, prediction, or suggestion. AI Ethics Series: What is AI Ethics

Explainability 52

Explainability AI AI AI Tools 52