Menu

IoT FEATURE NEWS

IBM Breaks Open the Black Box of AI

By

IBM has introduced technology designed to give businesses new transparency into AI and enable customers to have the ability to fully harness the technology’s power.

The software service on the IBM Cloud automatically detects bias and explains how AI makes decisions as they are being made. The software assists organizations as they manage AI systems from a wide variety of industry players. IBM Services will also work with businesses to help them harness the new software service.

“IBM led the industry in establishing Trust and Transparency principles for the development of new AI technologies,” said Beth Smith, GM, Watson AI, IBM. “It's time to translate principles into practice. We are giving new transparency and control to the businesses who use AI and face the most potential risk from any flawed decision making.”

These developments came after new research by IBM's Institute for Business Value revealed that while 82 percent of enterprises are considering AI deployments, 60 percent fear liability issues. Also 63 percent lack the in-house talent to confidently manage the technology.

IBM's new trust and transparency capabilities on the IBM Cloud work with models built from a wide variety of machine learning frameworks and AI-build environments such as Watson, Tensorflow, SparkML, AWS SageMaker, and AzureML. This allows organizations to take advantage of these new controls for most of the popular AI frameworks used by enterprises.

IBM Research has made available the AI Fairness 360 toolkit to the open source community. This is a library of novel algorithms, code, and tutorials that will give academics, researchers, and data scientists the necessary tools and knowledge to integrate bias detection as they build and deploy machine-learning models. While other open-source resources have focused solely on checking for bias in training data, this toolkit will help check for and mitigate bias in AI models. It allows the global open source community to work together to advance the science and make it easier to address bias in AI.


Chrissie Cluney has been a correspondent for IoT Evolution World since 2015. She holds a degree in English with a concentration in writing from the College of Saint Elizabeth.

Edited by Ken Briodagh
SHARE THIS ARTICLE
Related Articles

Global Goals: Transformation Through Smart Communities Can Change the World

By: Shrey Fadia    5/20/2019

At an Infrastructure Week event on May 14, Don DeLoach of Rocket Wagon Venture Studios spoke with Chris Rezendes of Context Labs & Spherical Analytics…

Read More

Ready For Disruption? How to Cover Your Assets in Times of Turmoil

By: Special Guest    5/20/2019

When we think about disruptive forces that can impact business, we often think about technological change, emerging competitors, or economic cycles. B…

Read More

IoT Venture Studios Sets Out to Get Start-Ups Off the Ground

By: Shrey Fadia    5/20/2019

There is so much going on in the world of connected things it can be hard to discover and track the thousands of entrepreneurial companies entering th…

Read More

Mocana Introduces Cyber Protection Solution for IoT, Smart Cities and Distributed Intelligence

By: Ken Briodagh    5/20/2019

Protection Against Cyber Attacks Extended to Sensors and Intelligent Compute Nodes with Device Security Management Provided by Mocana TrustCenter

Read More

Brainium Core Software and SmartEdge Agile Adopt Microsoft IoT Plug and Play

By: Ken Briodagh    5/20/2019

Brainium reduces IoT software complexity and brings hardware innovation so that software integrators and developers can focus on their projects develo…

Read More