Posts tagged candidate
Higher Standards for Hire: Algorithmic Bias in the Job Application Process
Higher Standards for Hire: Algorithmic Bias in the Job Application Process

Despite the promise of objectivity in AI algorithms used in hiring, the technologies that are meant to prevent bias and increase diversity in the workforce are actually introducing more of it. In this research-based approach, Business Today writer Antonio Simental analyzes how this systematic issue stems from flawed datasets.

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Spring 2020, Opinions, Print, TechnologyAntonio Simentalfirst, bias, hiring, candidate, technology, Artificial Intelligence, AI, algorith, diversity, human resources, employmennt, employment, career, internship, apply, gender, race, decision-making, data
Measuring Potential in the Era of Digital, Data-based Hiring: a case study with re:work
Measuring Potential in the Era of Digital, Data-based Hiring: a case study with re:work

re:work, led by CEO Shelton Banks, provides individuals coming from non-traditional backgrounds with training and opportunities to secure jobs in technology sales. As re:work uses HireVue’s digital interviewing software, Banks explains to what extent his company relies on HireVue’s assessments to select candidates. Business Today writer Vignesh Panchanatham also conducts a side-by-side analysis with statements about HireVue’s capabilities from their CEO, Kevin Parker.

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Spring 2020, Finance & Business, Interviews, US, TechnologyVignesh Panchanathamrework, hirevue1, interview, candidate, application, program, CEO, interviewing, artificial intelligence, AI, data, personal info, job, skills, challenge, gender, race, diversity, expectation, assessment, competencies, offer, screen, employer, email, culture, fit, software, capital