The End of AI Ambiguity

The study

The End of AI Ambiguity

Why now is the time to open the
black box of automation

While AI decision-makers are moving forward with AI initiatives, worries of ethical infringements and negative impacts on customer trust persist as headwinds to full deployment.

A new research study conducted by Forrester Consulting on behalf of InRule Technology* takes the pulse of decision-makers at major organizations. Some key takeaways: 

• Harmful bias in AI is a major concern of nearly 60 percent of survey respond
• Lack of explainable transparency is rampant with over 90 percent of decision-makers describing explainability as “critical” or “important.”
• Harmful bias increases associated regulatory risks. 
• Robustness, simplicity and focused user access are AI essential.
• Brittle, inflexible tools impede progress.

Get the full study 

Learn the full findings and key recommendations to transform the AI black box into a glass box. Submit the completed form on the right to request the Forrester study, The End of AI Ambiguity. 

* The End of AI Ambiguity, a commissioned study conducted by Forrester Consulting on behalf of InRule Technology, June 2022