The increasing integration of artificial intelligence (AI) in various sectors has significantly impacted productivity levels across the globe. Manufacturing, in particular, stands to reap immense benefits from incorporating AI into its operations. However, for AI to achieve its full potential within the manufacturing industry, companies must ensure adequate measures for privacy protection and bias elimination, especially during system training on employee-related data. The emphasis on this arises from the fact that AI not only transforms the process and product qualitatively but also profoundly shapes the interaction between human workforce and automated systems.
As outlined in a report posted on
JD Supra by Goodwin, manufacturers should consider the following steps to unlock AI’s power while maintaining privacy and mitigating bias:
- Undertake a systematic review of in-house data that the company plans to use for machine learning. This should include an audit for any personally identifiable information that could breach privacy rules.
- Use anonymized data for AI training. If this isn’t possible, they should at least make sure that the data is strictly compartmentalized on a need-to-know basis.
- Regularly update AI models to reflect changes in law and industry standards to ensure they remain compliant.
- Implement transparent policies around AI use and data handling to reassure employees about their privacy and the unbiased nature of the AI models that will be used.
Adopting these steps not only ensures regulatory compliance but also fosters an environment of trust within the organization. Overcoming these challenges will open the door to AI’s promise in manufacturing, including increased productivity, cost reduction, and the creation of new and innovative products.