Archives for Transparency AI
IBM has recently announced the commercialisation of its AI FactSheets, which were first introduced in 2018. In an official release, the company wrote that it plans to “commercialise key automated documentation capabilities from IBM Research’s AI FactSheets methodology into Watson Studio in Cloud Pak for Data throughout 2021”. This fact sheet will provide businesses with…
The post IBM Commercialises Its AI FactSheets. Could It Become An Industry Standard? appeared first on Analytics India Magazine.
Does India Have The Infrastructure To Implement Policy Recommendations To Avoid Algorithmic Bias
In recent news, the Centre for Data Ethics and Innovation (CDEI) in the UK, published a review study on the risks of bias in Algorithmic Decision Making (ADM) systems. This study was commissioned by the UK government, during the 2018 October Budget session. This document analyses the impact of bias in algorithms that can represent…
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Private enterprises use several algorithms for decision making on a day-to-day basis. Many of them have also realised or have been made aware of the consequences of using algorithms that might be biased towards individuals or sections of society. To avoid such incidents from occurring again, many tech companies are taking steps to ensure FATE…
The post Top Third-party Initiatives To Ensure Algorithmic FATE For Enterprises appeared first on Analytics India Magazine.
Artificial intelligence is growing at a rapid pace to the point where it is making important decisions for us. While this can be beneficial in some ways, AI algorithms which discriminate or have a bias in the decision-making process can result in unprecedented repercussions for individuals or sections of society. Algorithms are, in the end,…
The post Top 8 Initiatives By Large Tech Firms To Ensure Fairness in AI appeared first on Analytics India Magazine.
Just a month back, more than a dozen researchers from around the world wrote a scathing article voicing their concerns about lack of transparency and replicability of AI code and research. This article, in particular, referred to a Google Health study by McKinney et al. that claimed that an AI system could beat human radiologists…
The post Lack Of Transparency & Replicability Is Harming Research In AI appeared first on Analytics India Magazine.