AI and Human Error: Root Causes and Mitigation Strategies

Unintentional Human errors and Mitigation Strategies

Excerpt.   

AI and human error: Root causes and mitigation strategies       in Venturebeat

Taylor Hersom, Eden Data, April 7, 2023 

Algorithms and doorway concept with wavy and straight linesJoin top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

Leave any preconceptions you may have about AI at the door. If you can get past the futuristic image that the media constructs about AI, you can find real business value: machine learning (ML) models that solve real-world business problems.

Want must read news straight to your inbox?

From cybersecurity, governance and compliance, and accounting to navigating a recession and managing data, talent, and workloads, AI is here to stay. Its main goals are automation, agility and speed. The limitations of human performance and the impact of human error are unquestionably top AI innovation drivers.

Join us in San Francisco on July 11-12, where top executives will share how they have integrated and optimized AI investments for success and avoided common pitfalls.

Register Now

How AI can help press the right button

A slip, a lapse, a mix-up. Who has not pressed the wrong button when doing a repetitive task, even if they are highly skilled? Unintentional errors are common in a wide range of industries. They occur in environments where procedures and processes are well-established and automated.

Measuring human error’s global economic and social impact on all industries is a virtually impossible task. But we can rapidly visualize the severe risks involved when, for example, we meditate on the consequences of human error in sectors like healthcare, where lives are on the line. Even Chernobyl — one of the most dangerous nuclear incidents in modern history — began with a human error, followed by a flawed risk management plan.

Unintentional human errors can slow performance, disrupt normal production operations and even lead to injuries and death. In response, smart industrial AI-driven platforms are used to detect irregularities in production and distribution systems and flag them before they occur.

How do these platforms work? In the fourth industrial revolution, automation is powered by a network of industrial IoT devices that constantly relay data to an edge gateway, which in turn uploads it to the cloud. In the cloud, AI systems analyze the data for rapid visualization, risk prevention and predictive analysis.

These AI systems can “learn” and improve performance by removing gaps while “fixing” the root causes that lead to human errors.

On the other hand, mistakes also occur when workers are subject to stressful conditions and experience burnout. “Everyone can make errors no matter how well trained and motivated they are,” says the Health and Safety Executive (HSE), Britain’s national regulator for workplace health and safety.  ... '