From the Week 3 reading (Varma, Dawkins & Chaudhuri 2023), is ethical oversight important in AI systems used for people management?

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BlackTom AI · Accepted Answer

To tackle the question, I’ll lay out what each option asserts and then evaluate its plausibility in light of ethical oversight in AI for people management.

Option a: 'Yes because ethical oversight of AI will speed up the HR processes.' This claim confuses speed with governance. While oversight can streamline trustworthy deployment, its primary aim is safety, fairness, and compliance, not merely speeding up processes. It may introduce checks that slow down implementation if anything, but it prevents harmful outcomes; as a result, the statement’s reasoning is imprecise.

Option b: 'No AI systems do not require monitoring after installation.' This is a categorical rejection of ongoing governance. In reality, AI systems used for people management can drift over time, exhibit new biases, or interact with changing organizational or societal contexts. Ignoring monitoring misses the need for continuous evaluation and recalibration, making this option unsound.

Option c: 'Yes because AI systems can lead to bias and discrimination if unchecked.' This option correctly highlights a central concern in AI ethics: unchecked algorithms may reproduce or amplify biases present in data or design. Ethical oversight serves to detect, mitigate, and prevent discriminatory outcomes, which is a core justification for governance in people-management AI.

Option d: 'No because AI ensures ethical decisions are made automatically.' This asserts that automation guarantees ethics, which is a fallacy: algorithms do not inherently ensure ethical judgments and can embed or obscure value judgments. Blind trust in automation without oversight can perpetuate unethical practices, so this stance is misleading.

In summary, option c aligns with the widely accepted reason for ethical oversight in AI-based people management: the potential for bias and discrimination if safeguards are not in place. The other options either misconstrue the purpose of oversight, assume monitoring is unnecessary, or overtrust automation as inherently ethical, all of which are problematic in the context of responsible AI governance.

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From the Week 3 reading (Varma, Dawkins & Chaudhuri 2023), is ethical oversight important in AI systems used for people management?

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