Understanding Responsible AI in Recruitment
The adoption of AI in recruitment processes is on the rise, with a 2022 SHRM survey indicating that 79% of large HR organizations using AI utilize it for recruitment. This surge is driven primarily by increased efficiency, candidate experience enhancement, and the potential to reduce human bias. Unlike traditional software, AI solutions have unique features: they learn rules from datasets, their outputs are probabilistic, and they handle tasks traditionally requiring human cognition where the inner workings can be too complex to understand.
Given this widespread adoption and the nature of AI systems, it’s imperative to consider the responsible use of AI to minimize potential harms. Responsible AI generally refers to the ethical, safe, trustworthy, and fair development, deployment, and use of AI systems. Ethically, the focus is on transparency, bias mitigation, accountability, privacy, accuracy, human oversight, safety, societal impact, and inclusivity. Legally, aspects such as regular audits, risk management, transparency notices, and thorough documentation stand out.
For HR leaders aiming to understand responsible AI use, this paper offers an overview and suggests seven essential questions to evaluate an AI solution on. Partnering with experts in the field, such as Sapia.ai and its pioneering FAIR™ framework, can also accelerate your learning and pathway to responsible AI.
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