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Balancing Compliance with AI Solutions - How Artificial Intelligence Can Drive the Future of Work by
‹
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When:
Dec 7, 2021 from 02:00 PM to 03:00 PM (ET)
With the expansion of Talent Acquisition responsibilities and complex landscape – from hiring recovery, talent redeployment, the great resignation, and DE&I initiatives, there has never been a greater need for intelligent, augmentation and automation solutions for recruiters, managers, and sourcers. There is also growing awareness of problematic artificial intelligence solutions being used across the HR space and the perils of efficiency and effectiveness solutions at the cost of fairness and diversity goals. These concerns are compounded with increased inquiries from employees and candidates of the AI solutions used to determine or influence their careers, particularly what’s ‘inside’ the AI and how they are tested for bias. Join this one-hour webinar hosted by HiredScore CEO & Founder Athena Karp as she shares:
• How to segment and classify different types of artificial intelligence solutions that might be implemented through the TA function, already in your HR systems, or from other departments influencing the HR process
• The latest regulatory environment governing the use of AI in hiring – from US, state-by-state regs, city laws, and global standards
• Best practices for vetting artificial intelligence for hiring solutions to ensure compliance, prevent reputation damage, and further your transformation agenda
Hosted by:
Athena Karp
CEO & Founder
@
HiredScore
Athena Karp is the founder and CEO of HiredScore, an artificial intelligence HR technology company that powers the global Fortune 500. HiredScore leverages the power of data science and machine learning to help companies reach diversity and inclusion goals, adapt for the future of work, provide talent mobility and opportunity, and HR efficiencies. HiredScore has won best-in-class industry recognition and honors for delivering business value, accelerating HR transformations, and leading innovation around bias mitigation and ethical AI.
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