The innovative technologies available to enterprises for talent acquisition and talent management are growing exponentially. Along with the growth in HR technology is the vast amount of data that comes with it. Direct sourcing solutions, for example, collect an enormous volume of data about potential candidates. Now with the power of artificial intelligence (AI), an even deeper analysis of employee data can be accomplished. While these insights can be game-changing for workforce productivity and employee engagement strategies, there remains a question about employee privacy.
Technology Pushes Privacy Boundaries
HR is the keeper of the most sensitive employee data in the enterprise from social security numbers to performance reviews to salary information. This standard information has always been under lock and key. However, technology is now extending data into more delicate areas, leading to privacy and security concerns. Consider wearables technology that enterprises are now experimenting with. Used extensively in retail and logistics environments, organizations can now track employee behaviors and health metrics, such as blood pressure, sleep patterns, and daily steps to monitor well-being and engagement.
While HR technologies can help with employee and organizational engagement, enhance efficiencies, streamline processes, and improve executive and managerial decision-making, what are the privacy and security issues of such advancements?
- Data monitoring protections. The collection of data through monitoring or surveillance technologies opens the door to sensitive employee information. Whether it’s work habits and behaviors, such as productivity or attendance metrics, or more general health-related information, enterprises should establish clear policies and communicate transparently about the purpose and extent of monitoring to address privacy concerns. In the case of wearables, what are the objectives of using these devices? How will the information be stored? And who has access to it?
- Data access controls. One of the biggest issues is simply the access and sharing of candidate and/or employee information. More HR data is now accessible by a larger stakeholder pool. HR personnel, managers, executives, and external service providers are privy to employee data. It is essential to establish strict access controls and protocols to ensure that only authorized individuals can access the data. Moreover, the sharing of employee data with external vendors or partners should be governed by clear policies and data protection agreements to protect employee privacy.
- Data ethics guidelines and processes. How data is used by enterprises can come under great scrutiny if ethical guidelines are not instituted to prevent misuse or discrimination. Guidelines should begin with obtaining consent from employees to collect, use, and store their personal information. Similarly, enterprises should allow employees access to their information for review and correcting inaccuracies. As organizations integrate artificial intelligence tools into their HR solutions, an audit of algorithms should occur to prevent any biases.
HR technology is ushering in innovations that can truly transform and revolutionize the workplace and workforce strategies. However, the immense data generated can erode employee trust if not properly shared and protected. Compliance with privacy laws and regulations both in the U.S. and abroad is absolute. Equally critical is transparency with contingent and permanent employees around the collection, usage, and storage of data. Communicate that data privacy and individual rights are extremely important to the enterprise, as are cybersecurity measures.
Workforce analytics alongside other forms of intellectual property are competitive differentiators that enterprises must protect. Complacency is not an option in today’s data-driven world.
