Nearly Half of North Americans Believe AI Will Be Less Biased Than Humans, Survey Finds

A new Canada-U.S. survey from Alexi, an AI-powered litigation platform, and Talker Research reveals that nearly half (47%) of North Americans believe AI will eventually be less biased than humans.

The 2025 North American AI Outlook Report highlights a growing mix of optimism and skepticism about AI’s role in decision-making, trust, and education.

As AI advances, public trust lags behind. While 49% of respondents predict AI will be less biased in decision-making, 27% remain skeptical, and 24% are uncertain. Notably, Canadians are more optimistic (52%) about AI’s potential to reduce bias than Americans (46%).

“Bias in decision-making has long been a challenge, particularly in the legal system,” said Mark Doble, CEO of Alexi. “This data shows that while many believe AI can improve fairness, there’s still work to do in building trust.”

Despite trust concerns, North Americans acknowledge AI’s potential to improve efficiency and reduce repetitive tasks:

• 44% believe AI will take over monotonous work, with optimism higher in Canada (48%) than the U.S. (38%).
• 35% predict AI will handle most legal services by 2025, while confidence is even higher in finance (48%) and hiring processes (47%).
• Trust remains a barrier—only 12% of respondents feel comfortable with AI making legal decisions.

“The real opportunity for AI isn’t replacing professionals but enhancing their efficiency and precision,” added Doble.

The report highlights widespread support for AI literacy in schools, with 72% of North Americans backing AI education by 2026. Support is stronger in Canada (60%) than the U.S. (45%), particularly in Alberta, Quebec, and British Columbia (64%).

The findings suggest that Canadians are more open to AI adoption than Americans:

• 56% of Canadians say they are likely to embrace AI in daily life, compared to 49% of Americans.
• Canadians also show greater optimism about AI’s role in reducing bias, improving efficiency, and automating routine tasks.

As AI continues to reshape industries and daily life, bridging the trust gap remains a key challenge. The findings suggest that education, transparency, and responsible AI development will be critical in shaping AI’s future acceptance.