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Artificial intelligence (AI) algorithms are hard at work for many businesses, despite the fact that no one has figured out explainability, according to a new survey. Research from Modzy found that security is also a serious concern with 72% of companies reporting that security breaches or threats to AI systems. Modzy surveyed 821 decision-makers about how companies are deploying and managing AI for the new report, “The Race Towards Artificial Intelligence Adoption.”

The survey found that 85% of decision-makers consider the explainability of AI to be extremely or very important. At the same time, leaders are also skeptical about the ability of organizations or government agencies to mandate this capability, with 59% agreeing it is impossible to do so.

The same percentage of respondents said that even data scientists do not fully understand how some algorithms work. Trust is also an issue for AI implementations with 64% of respondents saying employees in their organization still do not trust or understand AI-enabled recommendations.

SEE: Natural language processing: A cheat sheet (TechRepublic)

The survey took place during October and November 2020 and included technology decision-makers at companies with more than 1,000 employees.

Despite these concerns, these AI techniques are in the widest use, according to the survey:

  • Machine learning 88%
  • Computer vision 81%
  • Natural language processing 81%
  • Deep learning/neural networks 80%
  • Robotics and motion 77%
  • Generative adversarial networks 66%

The survey found that these are the most common uses for AI technologies:

  • Analyze data/identify underlying patterns 60%
  • Improve planning and optimization 52%
  • Improve knowledge capture and extraction 48%
  • Engage with customers 48%
  • Automate back office processes 44%
  • Analyze images or videos 44%

Survey respondents were organized into two categories: Significant impact organizations (SIOs) and low impact organizations (LIOs). This reflects the importance of AI on a business’s operations. SIOs were much more likely to use AI for all of the tasks in the list above.

SIOs also were much more likely to see value from AI deployments with 75% stating they see significant value from the technology compared to only 30% of LIOs seeing the same value. There is also a significant difference in spending plans between the two groups with 88% of SIOs planning to increase AI investments over the next two years compared to 52% of LIOs.

Josh Sullivan, head of Modzy, said in a press release that successful adoption begins with a fundamental shift in thinking to overcome complexity obstacles.

“2021 will be the year when those implementing AI will start achieving value at scale, while those spending months training brittle models and failing to catch up will be at an increasing, exponential disadvantage,” said Sullivan.

The survey authors concluded that “AI technologies will only live up to their potential if organizations can develop greater explainability, trust, and security.” Companies that accomplish these goals as well as building employee and public trust in the technology will win the race to succeed with AI.