New services help companies validate safety, reliability and transparency of their artificial intelligence systems

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Accenture has launched new services for testing artificial intelligence (AI) systems, powered by a unique “Teach and Test” methodology designed to help companies build, monitor and measure reliable AI systems within their own infrastructure or in the cloud.

Accenture’s “Teach and Test” methodology ensures that AI systems are producing the right decisions in two phases. The “Teach” phase focuses on the choice of data, models and algorithms that are used to train machine learning. This phase experiments and statistically evaluates different models to select the best performing model to be deployed into production, while avoiding gender, ethnic and other biases, as well as ethical and compliance risks.

During the “Test” phase, AI system outputs are compared to key performance indicators, and assessed for whether the system can explain how a decision or outcome was determined. It uses innovative techniques and cloud-based tools to monitor the system on an ongoing basis for sustained performance. For instance, a patent-pending normalization technique uses a unique algorithm to test object recognition more quickly.

“The adoption of AI is accelerating as businesses see it’s transformational value to power new innovations and growth,” said Bhaskar Ghosh, group chief executive, Accenture Technology Services. “As organizations embrace AI, it is critical to find better ways to train and sustain these systems – securely and with quality – to avoid adverse effects on business performance, brand reputation, compliance and humans.”