Ethical use of Artificial Intelligence in manufacturing

What are the three key questions manufacturers are facing right now?

Navigate the ethical challenges of Artificial Intelligence (AI) in manufacturing with insights into three key questions. As the industry embraces AI, executives face the Solow paradox, making it challenging to measure AI benefits with existing metrics. Manufacturing's historical shift from industrial automation to AI requires a realistic assessment of potential gains, considering factors like productivity, profitability, and labor dynamics. Executives must also grapple with the impact of AI on the workforce and society, addressing potential disruptions in employment patterns.

The evolution towards AI demands responsible decision-making, emphasizing explainable AI to build trust and manage automation bias. While AI promises transformative changes, it necessitates corporate responsibility, as unintended consequences may lead to liability risks. As the manufacturing landscape evolves, executives are urged to challenge the status quo, adapt to new realities, and seize opportunities to lead in this AI-driven epoch. 

Manufacturers are beginning to adopt AI technology, marrying this new technology with the automation systems they already widely use with the advent of the programmable logic controller. They have been able to increase their productivity while employing fewer people. Stay informed and position your company at the forefront of ethical AI adoption. Download the whitepaper to learn more.