79% of the Big Companies in Bulgaria Suffer from Data Bias in AI, According to Progress Research Study

Progress, the trusted provider of application development and infrastructure software, today announced the results of its global survey, “Data Bias: The Hidden Risk of AI”. Conducted by independent research firm Insight Avenue and distributed among the members of the American Chamber of Commerce in Bulgaria, the Progress survey is based on interviews with more than 640 business and IT leaders from companies with over 500 employees from all over the world, including Bulgaria. The report aims to measure the overall understanding of data bias, its influence on the business and how do companies address this issue.

Biases are often inherited by cultural and personal experiences. When data is collected and used in the training of machine learning models, the models inherit the bias of the people building them, producing unexpected and potentially harmful outcomes. Yet, despite the potential legal and financial pitfalls associated with data bias, there is a lack of understanding around the training, processes and technology needed to tackle data bias successfully.

The Progress survey indicated that 95% of the Bulgaria business and IT leaders say that they will rely more on AI in their decision-making processes in the coming years, but only 13% have ongoing proceses and policies for addressing data bias. The biggest barriers they see are lack of awareness of potential biases (39%) and lack of best practices in identifying it (37%).

The survey findings from Bulgaria also show:

  • 82% of the respondents anticipate that data bias will become a bigger concern as AI/ML use increases.
  • 79% believe there is currently data bias in their organization.
  • 76% believe they need to be doing more to address data bias.
  • 95% say that introducing processes that will help eliminate data bias will lead to increased trust in AI across the business.
  • 84% think that organizations have a societal responsibility to understand and address data bias, however only 58% share that the leaders of their companies are actively engaged with the issue.

“Loss of customer trust, regulatory and security issues for the business are just an examples of the implications of data bias in AI,” said Simeon Stoychev, VP, IT Infrastructure and Operations, Progress. “Preventing data bias at an early stage requires a combination of technology, trainings and processes, while the responsibility is shared among everyone, who uses AI. This is the only way to ensure that the AI will work to the benefit of the people and the business.”

Commissioned by Progress, the survey, “Data Bias: The Hidden Risk of AI” is based on interviews with business and IT professionals located across the Americas, Europe and Asia, focused on the use of data in decision making.

To view the full findings, go here