New benchmark in trust and ethics for AI-driven technologies.
Reejig, a leading workforce intelligence platform, today announced their successful completion of the world’s first and only independent assessment and validation of Ethical AI in partnership with the University of Technology Sydney (UTS).
This process is the first time that algorithms within an AI-driven intelligence platform have been independently assessed against key ethical criteria of transparency, privacy, bias and accountability.
Reejig CEO and co-founder, Siobhan Savage said, “The benefits that data and AI are bringing to the professional workforce are phenomenal, but AI is not immune to bias in the data or in the algorithms. Previously, the decision making has been hidden in a black box, meaning until now, there has been no clear, defensible, independent, and objective validation demonstrating ethical AI.”
“Frameworks provide guidance however we believe that’s like marking your own homework. Boards, organisations, and decision makers are exposed to real risk that they may unwittingly be causing harm or bias. Given what’s at stake, we were astounded that there was no independent assurance that the AI an organisation adopts is ethical and unbiased,” Savage said.
Reejig partnered with Executive Director Data Science UTS, Distinguished Professor Fang Chen to deliver the ‘non-biased talent shortlisting algorithm validation’ project – a pioneering independent validation of Ethical AI.
The research team lead by Professor Chen has taken two years to develop, test and iterate the ground-breaking assessment process, before being passed on to industry partners to confirm that the AI outputs are fit for purpose and deliver actionable results.
Professor Chen said, “When you are talking about AI and workforce or HR data you are dealing with sensitive information about real people, so building trust into that process is critical. Combined, these two have the power to transform the way we think, engage and work. AI for good needs to be the standard. But there has been no way to properly assess that until this project.”
Companies, organisations, and governments around the world face an incredible challenge to rebuild their workforce at scale, and with the confidence that the technology they use to make important decisions is fair, accurate and equitable.
Mark Caine, Artificial Intelligence and Machine Learning Lead, World Economic Forum said, “We absolutely need to minimise the risk of AI to humanity, otherwise the public will lose trust in AI and its capability to do good. Whilst globally, there are over 200 AI ethics frameworks and guidelines, few have been operationalised and this is a milestone in bringing independently audited certification to an innovative AI product.”
Caine added, “A key barrier to the adoption of AI, and thus it’s potential to do good, has been lifted. This is significant for organisations who want to do the right thing and minimise risk to their customers, their stakeholders, and their reputation.”
Reejig uses big data and verified Artificial Intelligence (AI) to help organisations understand and analyse the skills and capabilities across their talent ecosystem. It connects existing HR systems, cleanses and aggregates talent data, and unifies data from across the entire enterprise. This coupled with market, industry and competitor intelligence and skills mapping, is helping companies design their workforce of the future.
A key part of the Reejig workforce intelligence platform is automated matching of potential candidates or employees to opportunities in a way that removes negative unconscious bias from the process.
Reejig’s AI also has explainable AI ensuring that the HR users can explain why talent has been recommended to ensure they comply with Equal Opportunities and employment law.
Reejig is a workforce intelligence platform that helps large organisations find, manage, up-skill, reskill talent and fulfil their diversity goals. Reejig uses deep learning artificial intelligence and the world’s first independently audited ethical AI to enable enterprises and governments to shape their workforce of the future.
About The University of Technology Sydney (UTS)
Engineering and IT is the largest of the nine faculties at The University of Technology Sydney (UTS). UTS is located in central Sydney, and is one of Australia’s leading universities of technology. It is known for fusing innovation, creativity and technology in its teaching and research and for being an industry-focused university. UTS has a total enrolment of over 40,000 students and is rated No.1 ‘young’ university in Australia in both the QS and Times Higher Education rankings. For more information go to uts.edu.au.
Notes to editors:
UTS reviewed more than 175 frameworks and guidelines from around the world and refined these into four categories of Ethical principles: transparency, accountability, fairness and security and privacy. UTS validated Reejig’s algorithms and processes against these to provide an assessment of and guidance for ethical practice, before passing onto industry partners KPMG and others for independent testing of the outcomes.
Reejig gifted the audit framework back to UTS so that they could use it to do further good in the building of ethical AI.
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