Responsible AI data

This interactive chart shows how small and medium businesses (SMEs) are building trust, efficiency and competitive advantage with responsible AI practices.

We asked businesses which of the following practices they have in place, or will have, when using AI systems: 

  • check AI results before they affect customers/clients
  • commit to following best practice guidelines for safe and responsible AI use
  • have guidelines on what tasks AI can and cannot be used for
  • regularly review AI system outputs to check for accuracy
  • provide staff training on how to use AI systems appropriately
  • protect customer/client data used in our AI systems
  • have a process for customers/clients to raise concerns about AI-related decisions
  • train our staff/teams to use AI systems effectively and understand how to check the results
  • be clear with customers/clients about how our business uses AI
  • regularly test our AI systems to ensure they work as intended
  • none of these.

We also asked the same question to businesses who said they were implementing or intending to implement AI in the next 12 months.

Fifth Quadrant collects the data monthly from 400 businesses. Read more about the survey.

Data in this chart is from February 2025.

Explore the data

Filter by industry, location, business size and AI-related statements to understand which practices businesses have in place, or will have, when using AI systems. Use the tabs to see data based on how they are using AI.

About the data

The tracker is not a longitudinal study. Different SMEs respond to the survey questions each month. 

This chart contains data on organisations that answered yes to the following questions:

  • We currently use AI broadly across our business.
  • We currently use AI within a limited part of our business.
  • We are in the process of implementing AI within our business.
  • We intend to implement AI within our business within the next 12 months.

When there are less than 10 data points, we’ve noted there is insufficient data to display in the dashboards. 

We collect and display industry-specific data on a quarterly basis rather than month-by-month.