Responsible AI

If technology isn’t human-centered, who is it for?

We craft unique and enduring experiences for the brands we serve and their end customers while seeking positive outcomes for global citizens, our communities, team members and partners. In our work developing and deploying innovative technologies, we are guided by a set of ethical principles that we call humanity-in-the-loop.

As GenAI implementations become more prominent, it's critical to adhere to responsible AI practices to protect your brand and foster customer trust.

Explore how TELUS Digital designs for data privacy and security while driving AI innovation with leading brands.

Addressing bias in AI models is a key principle of responsible AI. Discover how diversifying your team of AI contributors through impact sourcing can help.

Discover TELUS Digital’s responsible AI principles for delivering better AI outcomes.

TELUS Digital partnered with YICF, an Indonesian not-for-profit organization, to expand its impact sourcing initiative in order to accurately represent the voices of displaced persons and refugees in Southeast Asia.

Discover how a leading technology company leveraged TELUS Digital’s expertise to develop one of the first global wellness strategies on their behalf.

What is the gender data gap in artificial intelligence (AI) and what can companies do to ensure more inclusive AI data practices? Discover key insights and learnings.

If you train your model with biased data, it will learn and even amplify those biases. Here’s how to address bias in artificial intelligence models.

Discover the seven most common types of data bias in machine learning to help you analyze and understand where it happens in order to avoid it.

As AI plays an increasingly larger role in customer service, it has the potential to bake in underlying human biases. Discover key strategies for controlling machine bias in your AI-enabled tools.