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Building trustworthy systems

July 13, 2022 3-MINUTE READ


In brief

The importance of trust

1. Positive relationships

Trust depends on a leader’s ability to build relationships with others. The challenge is to bring this sense of fairness and transparency between people to the relationships that people have with technology.

Explainable AI

Explainable AI ensures that decisions come with clear explanations, ensuring we understand why every outcome was created.

Algorithmic fairness

Identifying bias when developing AI is the first step to taking action and preventing unintended consequences.

Humans + Machines collaboration

Technology paired with human ingenuity is more powerful than either alone.

2. Good judgement and expertise

A trusted leader is an informed leader. Trustworthy systems should be informed on where uncertainty exists and also continue to expand knowledge.

Evaluating algorithmic uncertainty

Every algorithm has a level of uncertainty in its outputs, and taking this into account can reduce risk and improve outcomes

Designing for continued learning

Just as humans never stop learning, technology systems can be designed to expand both their knowledge and performance

3. Consistency

Trustworthy leaders “walk the talk” and keep their promises. People also expect technology to perform as expected to ensure privacy and security.

Robust and resilient

Technology systems must do what organizations say they will do even when they’re under attack.

Private and secure

A trustworthy system manages data in a way that customers expect and understand.

The path forward for building trust

Medb Corcoran


Medb Corcoran leads Accenture Labs in Ireland, which incubates and prototypes new concepts in AI through applied R&D projects.

Ray Eitel-Porter

Managing Director – Applied Intelligence, Global Lead for Responsible AI

Ray specialises in helping organisations deliver value from AI responsibly and safely.

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