AI and Human Error: Root Causes and Mitigation Strategies

Join senior executives in San Francisco on July 11-12 to learn how leaders are integrating and optimizing AI investments for success. Find out more

Let go of any preconceptions you may have about AI. If you can get past the futuristic image the media has of AI, you can find real business value: machine learning (ML) models that solve real business problems.

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

Verizon's 2022 data breach investigations found that 82% of the 23,000 global cyber incidents analyzed were due to human error. But while data analysts and even modern software management solutions are quick to blame humans for errors and mishaps, the issues are more complex.

What exactly are human errors and why do they happen? The answer to this question is vital. Understanding the root causes of human error is how AI and risk management frameworks work to minimize disruption.
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Join us in San Francisco on July 11-12, where senior executives will discuss how they've integrated and optimized AI investments for success and avoided common pitfalls.
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A misstep, a mistake, a confusion. Who hasn't pressed the wrong button during a repetitive task, even if they're highly skilled? Unintentional errors are common across a wide range of industries. They occur in environments where procedures and processes are well established and automated.

Measuring the overall economic and social impact of human error on all industries is a near impossible task. But we can quickly visualize the grave risks involved when, for example, we ponder the consequences of human error in areas like health, where lives are at stake. Even Chernobyl, one of the most dangerous nuclear incidents in modern history, began with human error, followed by a flawed risk management plan.

>>Don't miss our special issue: The quest for Nirvana: Applying AI at scale.

Business Apr 7, 2023 0 51 Add to Reading List

AI and Human Error: Root Causes and Mitigation Strategies

Join senior executives in San Francisco on July 11-12 to learn how leaders are integrating and optimizing AI investments for success. Find out more

Let go of any preconceptions you may have about AI. If you can get past the futuristic image the media has of AI, you can find real business value: machine learning (ML) models that solve real business problems.

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

Verizon's 2022 data breach investigations found that 82% of the 23,000 global cyber incidents analyzed were due to human error. But while data analysts and even modern software management solutions are quick to blame humans for errors and mishaps, the issues are more complex.

What exactly are human errors and why do they happen? The answer to this question is vital. Understanding the root causes of human error is how AI and risk management frameworks work to minimize disruption.

Event

Transform 2023

Join us in San Francisco on July 11-12, where senior executives will discuss how they've integrated and optimized AI investments for success and avoided common pitfalls.

A misstep, a mistake, a confusion. Who hasn't pressed the wrong button during a repetitive task, even if they're highly skilled? Unintentional errors are common across a wide range of industries. They occur in environments where procedures and processes are well established and automated.

Measuring the overall economic and social impact of human error on all industries is a near impossible task. But we can quickly visualize the grave risks involved when, for example, we ponder the consequences of human error in areas like health, where lives are at stake. Even Chernobyl, one of the most dangerous nuclear incidents in modern history, began with human error, followed by a flawed risk management plan.

>>Don't miss our special issue: The quest for Nirvana: Applying AI at scale.