In the quest for diversity and inclusion, there are many challenges, pitfalls, and false promises. As much as we would like to believe that there is a technology ‘easy button’ out there that will allow us to fast-track down the diversity hiring road, it doesn’t exist. That being said, there are plenty of technologies and solutions, that if implemented and used correctly, can greatly help your organization to hire fairly and equitably.
During this session, we will explore the rich landscape of hiring technologies and how to navigate to an unbiased, diverse program; from Artificial Intelligence and automated solutions, to assessments, integrations, and applicant workflows. We will define goals, tactics, and techniques, for how to evaluate and select technologies and solutions along with insights on how to engage with your organization to effect change and drive a more diverse, inclusive, and compliant hiring process.
Key learning objectives:
• Gain deeper understanding of hiring technology solutions, what they are, how they work, and the potential values and the pitfalls.
• Explore the impact of hiring technologies to diversity and inclusion including identifying potential hidden biases and unintentional consequences.
• Define how to evaluate technologies: what questions to ask and how to evaluate answers
In 2016, Melissa Dobbins formed career.place, a solution that removes bias from hiring by shifting the focus from resumes to qualifications.
Removing bias from talent evaluation does more than engaging a wider candidate pool in today’s fierce competition for talent; it drives diversity, efficiency, and compliance. Too many companies attempt to tackle these issues separately, but while bias remains in the selection process, diversity and compliance challenges will persist. Even worse, companies are turning to technology for the ‘easy solution’ just to automate existing biases.
Ms. Dobbins’ company, career.place, tackles bias and the resulting diversity, compliance, and efficiency challenges by removing bias-laden resumes from talent evaluation, replacing them with a solution that combines the best of technology and human touch to objectively measure candidate qualifications. Candidates remain anonymous, enabling fair evaluation and comparison without names, gender, ethnicity, age, or other bias-triggering information.
Career.Place, removing bias one hire at a time.
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