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Is AI Recruiting Discrimination Inevitable?

In yesterday’s post, we discussed the idea that using artificial intelligence (AI) or big data in the recruiting process doesn’t eliminate problems with discrimination and bias. Perhaps counter-intuitively, these methods can actually emphasize bias if we’re not careful because the machine doesn’t know any better. It can only assess the (often imperfect) traits it is told to […]

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Attracting, Engaging, and Retaining Seasonal Employees—It Pays to Plan

With the holidays looming, many organizations are staffing up for the busy times ahead. Holiday sales in 2018 are expected to rise as much as 5.6% over last year to a record $1.1 trillion, according to estimates from Deloitte. This means a need for more seasonal workers at a time when the labor market is […]

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Three Ways for Employers to Boost Pay Transparency for an Improved Workplace Culture

Today’s employees expect the companies they work for to deliver openness and transparency in, essentially, all of their business practices. This includes everything from communicating leadership changes, making adjustments to the business model, revealing news around potential acquisitions and, most of all, providing access to corporate-wide salary data.

3 Career Fields Robots Can’t Replace

Automation and artificial intelligence (AI) have proven to be useful to recruiters and hiring managers, who were early adopters of the technology. While many fear that this technology will eventually replace human jobs, there are just some roles that require that specific human touch.

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Limits of Noncompete, No-Poaching, and No-Hire Agreements

Management and HR professionals are faced with stiff competition for talent these days. After a sometimes lengthy recruitment and onboarding process, the employment relationship normally begins on a good note. But when the company loses money because employees are lured away to other jobs, it must hire and train their replacements. Further, employees may take […]

The Amazon Example: Can AI Discriminate?

Instinctively, it would seem that using a machine, data, or artificial intelligence (AI) to review job applicants would create a process that is fairer by default.