The Wild West of Data Analytics in Hiring: Adding Science for Better Results
At a European conference on privacy, Apple CEO Tim Cook previously stated that, “Algorithms that promised to improve our lives can actually magnify our worst human tendencies.” Each day, Cook said, money changes hands and countless decisions are made on the basis of personal preferences that reflect our diverse backgrounds, values, fears, goals, hopes, and dreams for the future. The profile that is created from your digital footprint can give companies incredibly sophisticated insights into who you are, and when that profile is run through algorithms that then expose you to content that is increasingly extreme, your “harmless preferences” can be transformed into “hardened convictions.”
This fear of letting data and algorithms run wild — free of scientific oversight and human conscience — is well founded. Hiring impacts the future of both organizations and people, and it should be grounded in theory, science, and rationality.
View this webcast to learn:
- How to realize the promises and avoid the perils of big data and automation in hiring
- How the current climate of privacy concerns and emerging regulations can be navigated to optimize hiring safely and appropriately
- How to base hiring decisions on principles rooted in a documented job focused analysis, while leveraging the power of big data and cloud computing
