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AI trust and data integrity in hiring | Global Human Capital Trends 2026 | Deloitte Insights
Summary
A significant majority of executives express concerns regarding the accuracy of data related to candidate skills, indicating a trust issue in workforce data. Nearly half of these executives believe that their reliance on AI for hiring and employee management will be adversely affected if they cannot trust the underlying data.
Business leaders emphasize the importance of data integrity, particularly in the context of employee acquisition and the long-term use of skills data. Rethinking data sourcing, curation, and governance processes is essential to maintain trust in workforce decisions.
The discussion highlights the need to shift focus from cybersecurity to disinformation security to protect the authenticity of worker data. Establishing a governance framework around AI usage and data management is crucial for ensuring trust.
Organizations are encouraged to implement governance structures that oversee AI applications and the management of data sources. This approach aims to enhance the authenticity and reliability of the data used in decision-making processes.
Perspectives
short
Executives concerned about data integrity
- Highlight concerns regarding the accuracy of candidate skills data
- Emphasize the impact of trust on AI usage in hiring
- Encourage rethinking data sourcing and governance processes
- Advocate for a shift from cybersecurity to disinformation security
- Stress the importance of human oversight in AI applications
Key entities
Timeline highlights
00:00–05:00
A significant majority of executives express concerns regarding the accuracy of data related to candidate skills, indicating a trust issue in workforce data. Nearly half of these executives believe that their reliance on AI for hiring and employee management will be adversely affected if they cannot trust the underlying data.
- 95% of executives are concerned about the accuracy of data regarding candidates skills and capabilities, highlighting a significant trust issue in workforce data. Nearly half of executives believe that their use of AI in hiring and employee management will be significantly affected if they cannot trust the underlying data
- Organizations must rethink how data is sourced and curated, establishing robust governance processes for managing incoming data and the data of employees and third-party contractors. Governance frameworks are necessary to ensure that AI applications are used responsibly and uphold authenticity and trust
- The concept of human on the loop emphasizes the importance of having human oversight in AI processes. This oversight is essential for managing risks while leveraging the benefits of AI technology