Study reveals critical gaps in responsible AI practices across industries

Qlik, a data integration and analytics firm, has sponsored a study by TechTarget’s Enterprise Strategy Group (ESG) shedding light on the state of responsible AI practices across industries. The report underscores the urgent need for robust ethical frameworks and transparent AI operations to navigate the complexities of AI integration into business processes. 

The study delves into key aspects of responsible AI practices, revealing insightful data on adoption, challenges, and strategic initiatives. According to the report, 97% of surveyed organizations are actively engaging with AI, with 74% already incorporating generative AI technologies in production. 

While 61% are investing significantly in AI, 74% of organizations lack a comprehensive, organization-wide approach to responsible AI. A significant 86% face challenges with ensuring transparency and explainability in AI systems, and nearly all organizations (99%) encounter hurdles in staying compliant with AI regulations and standards. 

Further the report states that despite challenges, 74% of organizations rate responsible AI as a top priority. However, over a quarter have faced increased operational costs, regulatory scrutiny, and market delays due to inadequate responsible AI measures. 

The research emphasizes the broad stakeholder landscape in responsible AI, with IT departments playing a proactive role. 

In response to these findings, Qlik stresses the importance of aligning AI technologies with responsible AI principles. The company’s initiatives focus on providing robust data management and analytics capabilities, essential for navigating AI complexities responsibly. 

Brendan Grady, General Manager, Analytics Business Unit at Qlik, said, “The ESG Research echoes our stance that the essence of AI adoption lies beyond technology, it's about ensuring a solid data foundation for decision-making and innovation. At Qlik, we empower businesses not just to deploy AI but to integrate it meaningfully, aligning with their strategic objectives. This study underscores the importance of responsible AI integration as a catalyst for sustainable and impactful organizational growth.” 

Michael Leone, Principal Analyst at ESG, commented, “As organizations accelerate their AI initiatives, the necessity for a solid foundation that supports ethical guidelines and robust data governance becomes crucial. This research aims to guide enterprises in fostering responsible innovation that aligns with both business objectives and ethical standards.”