Canadians worried about how organizations handle personal data: report

Respondents cite importance of input, trust, transparency in developing AI

Canadians worried about how organizations handle personal data: report

Canadians and Americans alike are putting more importance into data privacy, according to a recent TELUS report.

About eight in 10 Canadians (79%) say data privacy matters more to them now than ever before, and many (72%) are worried about how organizations handle their personal data.

There is a “critical need for companies to prioritize ethical data management and transparency as Artificial Intelligence (AI) and other technology rapidly evolves,” says the report.

"As technology continues to advance at an unprecedented pace, it's clear that people on both sides of the border are becoming increasingly aware of and concerned about their data," says Pam Snively, TELUS' chief data & trust officer.

Two-thirds (66%) of cybersecurity professionals say that their roles are more stressful compared to how it was five years ago as 38% of organizations are experiencing increased cybersecurity attacks, according to a previous report.

How to deal with AI in workplace

With the increased awareness about the importance of data privacy, it is no surprise that there are strong feelings about AI and its development when it comes to trust and technology, notes TELUS.

Overall, 90% of Canadians want to see AI developed with care, finds the company’s survey of 1,000 Canadians and 1,000 Americans.

Having AI presented with clarity and transparency is important to Canadians (82%). And 74% of respondents want AI development done in consultation with everyday people, not just academics or technologists.

"People are telling us what they need to trust data and AI: they want companies to ask for and listen to customer input, for data ethics experts to be involved, and for transparency in the explanations on how AI is used in a way that is understandable to everyone,” says Snively. “Organizations need to listen and act on these concerns."

Some employers are losing interest in AI, citing cybersecurity concerns, according to a previous report.

What is the best practice using generative AI?

With employers turning to AI more and more, the US’s Organisation for Economic Cooperation and Development (OECD) is calling for effective gatekeeping when it comes to its applications.

“AI holds the potential to address complex challenges from enhancing education and improving health care, to driving scientific innovation and climate action. However, AI systems also pose risks to privacy, safety, security, and human autonomy,” it says.

“Effective governance is essential to ensure AI development and deployment are safe, secure and trustworthy, with policies and regulation that foster innovation and competition.”

And everyone must come together to ensure effective AI governance, says the United Nations Educational, Scientific and Cultural Organization (UNESCO).

“Getting AI governance right is one of the most consequential challenges of our time, calling for mutual learning based on the lessons and good practices emerging from the different jurisdictions around the world,” it says.

The use of AI in the workplace is leading to more cyberattack troubles for employers, according to a previous report.

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