By CultureBanx Team
IBM is trying to reduce bias in the datasets used to train AI systems
Worldwide spending on AI systems to reach $77.6B in 2022
Artificial intelligence (AI) is becoming increasingly more commonplace in daily life, with companies looking to incorporate it across their platforms. Since it's one of the most disputed parts of technology, IBM (IBM -0.87%) is trying to provide transparency around AI bias and level the playing field.
Why This Matters: Racial bias comes in many forms with AI and is primarily reflected in the lack of diversity going into the data algorithms it’s trained on. IBM researchers have been busy coming up with ways to reduce bias in the datasets used to train AI machine learning systems. This is a big deal if you're rejecting someone for a job, a loan, or deciding on whether or not they should go to prison due to AI data.
The software giant has developed a rating system that can rank the relative fairness of an AI system and explains how decisions are made. IBM is going to launch its AI Fairness 360 toolkit and make the new software easily accessible by the open source community, as a way to combat the current state of homogeneous developers.
A recent IDC report noted it expects worldwide spending on cognitive and AI systems to reach $77.6 billion in 2022. IBM stands to benefit greatly if these predictions hold up because its cognitive Solutions group grew at a compound annual growth rate (CAGR) of 1.4% over the last five quarters.
Situational Awareness: The problem is that AI is only as good as the data it's fed, so if the information is biased, the AI's decisions will reflect that as well. A little food for thought here that still has us a bit puzzled, who decides how fair the so called “fairness algorithms” are?
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