Responsible AI report singles out Bias Mitigation software for praise
UK-based startup, Synthesized, has been branded a “cool” AI-responsible business by global analysts, Gartner.
The official accolade comes as Synthesized urges businesses around the world to make use of its open source software FairLens – which enables data scientists to visualise unfairness and discrimination in data.
In its report, Cool Vendors in AI Governance and Responsible AI, Gartner states: “Synthesized is cool because it uses AI and GANs to generate synthetic data, and it systematically identifies and mitigates bias in the resulting dataset.”
According to Gartner, the three elements of a Cool Vendor are defined as:
- Innovative – enables users to do things they couldn’t do before.
- Impactful – has or will have a business impact, not just technology for its own sake.
- Intriguing – caught Gartner’s interest during the past six months.
Nicolai Baldin, CEO of Synthesized, said: “It’s hugely encouraging that world leading business analysts are recognising the powerful nature of Synthesized’s solution in driving responsible AI by discovering and dealing with unfair and biased datasets. We are over the moon to be considered cool by Gartner.”
Synthesized was co-founded in 2017 by Dr Nicolai Baldin, who holds a PhD in Machine Learning and Statistics from the University of Cambridge. Nicolai started Synthesized with a mission to transform the way our society works with data using Artificial Intelligence. The business has won wide recognition and numerous awards for its innovative AI solution.
Gartner highlights Synthesized’s Bias Mitigation software, which identifies key variables that can contribute to bias, such as gender, age and income, and assigns a fairness score based on bias that is identified and gives users an actionable bias mitigation plan.
Synthesized addresses issues concerning both AI-related privacy and bias.
The report states: “Gartner’s social media analysis found that customers favour Synthesized when they save time by creating compliance-ready datasets and by providing automated workflows. They engaged publicly with the U.K.’s Financial Conduct Authority (FCA) and the City of London in November 2020 in a “Digital Sandbox Pilot” exercise to develop and utilize synthetic datasets for bank transaction fraud detection. The Alan Turing Institute vetted the Synthesized dataset, reporting it was highly accurate.”
Gartner recommends Synthesized to:
- Organisations that are coming under increasing security to ensure their AI models are performing within legal and ethical bounds when it comes to bias and fairness.
- Data and analytics leaders who need a collaboration on AI models internally and with other organizations but are inhibited to do so because of privacy and data leakage concerns.
- Organisations that require both high-quality data assets and need granular control over their data products.
Baldin concludes: “We have recently open sourced FairLens as a means of being transparent in how we approach bias and to encourage the broader data science community to contribute to the important work of fighting bias. We are also engaging all businesses and sectors by urging them to use our tool to discover the unfairness in their data.
“We believe the answer to data bias needs a societal solution. What Synthesized is doing is showing the world that it exists and that there are ways to mitigate it.”