AI Fairness 360 will supply a range of novel algorithms, code and tutorials.

Using a visual dashboard, customers will be able to witness how their algorithms make decisions on what factors are used to decide final recommendations.

Over time, it will take note of the model’s record for accuracy, performance and fairness.

The company hopes academics, researchers and data scientists will integrate bias detection into their models to prevent black box thinking.

“We are giving new transparency and control to the businesses who use AI and face the most potential risk from any flawed decision-making,” commented David Kenny, Senior Vice President, Cognitive Solutions, to the BBC.

The open-source software also works on frameworks such as Watson, Tensorflow, SparkML, AWS SageMaker and AzureML.

Written by Leah Alger

The post IBM launches cloud-based tool to monitor AI compliance appeared first on DevOps Online North America.

From a World of Watson Experts’ Roundtable: How do organisations tap into data analytics? And what do they need to know about themselves before they do?

IBM’s Scott Laningham tackles these questions with panelists Christopher Penn, Vice President of Marketing Technology at Shift Communication; Marketing Consultant Liz Dolinski; Jessie Liu, Founder and Digital Analytics Consultant Lead at Siteber; and Colin Sumter, Management Consultant at CrowdMole.

The post Video: Putting Data to Work appeared first on DevOps Online North America.