Susan Richards - HR Tech 2024 - Building Confidence in AI Tools
HR Data Labs podcast
Deep Dive
How has HR tech evolved in the last year?
HR tech has seen a resurgence in innovation, particularly around AI. There's also been a growing emphasis on support services to help organizations implement new technologies effectively. The cycle of innovation is expanding, with more focus on automation and augmentation of human-centric tasks like coaching and leadership development.
Why do organizations need consultants for AI implementation?
Consultants are essential for ensuring AI models are trained on clean, reliable data. They help build trust through strong data governance and ensure that the implementation aligns with the organization's long-term goals. Consultants also provide an independent perspective, helping organizations avoid pitfalls and achieve better ROI.
How does HR use AI for administrative assistance?
HR uses AI to handle repetitive tasks like scheduling interviews, updating calendars, and grouping candidates for panel interviews. AI can also assist with compliance-related tasks, ensuring consistency and reducing the risk of errors. By automating these tasks, HR teams can focus on more strategic, value-added activities.
Why is data governance crucial for AI in HR?
Data governance ensures that AI models are trained on accurate and reliable data. Without proper data hygiene, AI outputs can be flawed, leading to poor decision-making. Effective data governance builds trust within the organization and ensures that HR data supports the needs of both HR and the broader business.
What are the risks of biased data in AI models?
Biased data can lead AI models to perpetuate past human biases, particularly in areas like hiring, promotions, and pay equity. This can result in unfair practices and legal risks. To mitigate this, organizations must ensure their data is clean and representative, and they should actively work to avoid repeating past mistakes.
What role does AI play in compliance tasks?
AI can handle many compliance-related tasks consistently and on time, reducing the risk of errors and legal issues. Examples include minimum wage audits and ensuring pay equity. These tasks are critical for HR but can be repetitive and time-consuming, making them ideal for automation.
How can AI improve HR productivity?
AI automates repetitive, non-value-added tasks, freeing up HR professionals to focus on strategic activities. By handling tasks like scheduling and data entry, AI allows HR teams to engage more deeply with employees and managers, becoming better business partners.
- Increased innovation in AI-driven HR tech.
- Growing demand for support services to complement new technologies.
- The importance of considering service costs in ROI analysis.
- The challenge of managing expectations around 'doing more with less'.
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