We are committed to responsible AI
At TELUS, we recognize the transformative potential of innovations like Artificial Intelligence (AI). We believe that AI will augment human capabilities and help deliver better outcomes to build a friendlier future.
TELUS’ approach to responsible AI is grounded in our commitment to putting customers and communities first, and the TELUS Trust Model, which promotes the use of data in ways that build trust, by generating value, promoting respect and delivering security. We deploy AI responsibly, following ethical principles, which includes using data with integrity in a way that aligns with our TELUS Privacy Commitment. We aim to foster an environment where AI is a tool to drive the best customer experiences and improve our communities through social good initiatives.
What is AI?
AI is a technology designed to emulate human tasks through learning and automation. AI involves training machines to find meaningful patterns in information. This is like what a human mind does, but at a scale which would not be possible using human intelligence alone.
There are different types of AI. One popular example is supervised machine learning (ML). This is where a machine is “shown” what the desired outcome is and finds a way to achieve the outcome. The approach determined by the machine is called an algorithm or model. Other approaches to AI include deep learning and neural networks.
How does TELUS practice responsible AI
TELUS supports the development of AI technology in light of the opportunities to improve human experience and benefits to business and the digital economy. We are exploring numerous opportunities in AI within our business. We believe that AI will extend our capabilities to give back to the broader community and contribute to a friendlier future. We believe that human passion to innovate, coupled with strong ethical AI design principles, can create a powerful and positive transformation of our society.
Here are some examples of the way we use AI responsibly:
Updated on May 15, 2023.