Aims to resolve issue of trust in technology – the biggest barrier to widerartificial intelligence adoption
EY recently announced it has developed the first solution designed to help enterprises quantify the impact and trustworthiness of artificial intelligence (AI) systems.
The EY Trusted AI platform, enabled by Microsoft Azure, offer users an integrated approach to evaluate, monitor and quantify the impact and trustworthiness of AI. The platform leverages advanced analytical models to evaluate the technical design of an AI system, measuring risk drivers that include its objective, underlying technologies, technical operating environment and level of autonomy compared with human oversight, and then produces a technical score.
This new platform provides insights such as AI developers, executive sponsors, and risk practitioners. The technical score it provides is also subject to a complex multiplier, based on the impact on users, taking into account unintended consequences such as social and ethical implications. An evaluation of governance and control maturity acts as a further mitigating factor to reduce residual risk. The risk scoring model is based on the EY Trusted AI framework, which is being used to help enterprises avoid risks that could undermine products, brands, relationships and reputations.
Cathy Cobey, EY Global Trusted Artificial Intelligence Advisory Leader, says:
“Currently, a lack of trust is the leading barrier to the adoption of AI. If AI is to reach its full potential, we need a more granular view – the ability to predict conditions that amplify risks and then target mitigation strategies for risks that may undermine trust, while still considering traditional system risks such as reliability, performance and security. Sponsors and users alike want to develop AI in a transparent, accountable and therefore trusted manner. This innovative EY capability is a significant step toward reaching that goal.”
An interactive, web-based interface guides users through a series of schematic and assessment tools to build the risk profile of an AI agent. User-friendly visualizations provide users with a quick snapshot of the relative risk scores across their AI portfolio, with drill-down capabilities to reveal additional details.
A key benefit of the EY Trusted AI platform is its ability to perform dynamic risk management by forecasting the impact on risk when an AI component changes – such as an AI agent’s functional capabilities or level of autonomy. This will allow for a better understanding of the risk profile of AI agents.
Offered as a standalone or managed service, the EY Trusted AI platform is based on open-source architecture to facilitate rapid deployment. The EY Trusted AI platform will be made available soon.
For more information on EY and artificial intelligence, click here.
