Human-Centered Automation by Carlos Toxli-Hernandez (.ePUB)+
File Size: 10 MB
Human-Centered Automation by Carlos Toxli-Hernandez
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Overview: Human-Centered Automation (HCA) is becoming indispensable for organizations seeking to implement AI-driven systems, robotic process automation, and other advanced tools while keeping human needs at the core. Despite the widespread adoption of automation, many initiatives fall short due to a lack of alignment between technical capabilities and real-world user and organizational needs. This book unites insights from cognitive science, software engineering, business strategy, and human factors that view automation as something that works for people and not just systems. This book provides the tools and strategies to ensure efforts with automation succeed with people at the center. It takes readers through the entire HCA lifecycle; from process discovery and planning to system design, testing, and long-term oversight. With easy-to-understand frameworks and real-world examples across sectors, including healthcare, finance, and manufacturing, readers will gain tools to assess risk, define measurable outcomes, involve stakeholders, and build automation that is trustworthy, explainable, and effective. It offers the methodologies needed to drive meaningful, lasting impact through automation. A critical distinction for modern HCA is differentiating between Narrow AI and General AI (AGI). Narrow AI refers to systems designed for a specific task (e.g., detecting defects on an assembly line and predicting stock prices). These systems are typically deterministic or highly reliable within a fixed domain. They excel at “Predictive AI” tasks, which include optimization and classification. General AI (including LLMs and MLLMs) attempts to perform broad cognitive tasks, such as reasoning, coding, or conversation. While powerful, these models are stochastic (probabilistic) and prone to hallucinations. They excel at “Generative AI” tasks, which include creation and interface. The mistake many organizations made was confusing the two. They attempted to use General AI for tasks requiring the precision of Narrow AI (e.g., using an LLM to do math or control a robot arm directly). HCA requires a hybrid approach: using General AI as the interface (interpreting human intent) and Narrow AI as the engine (executing the safe, precise action). Human-Centered Automation is essential for ergonomics and human factors professionals, researchers, and organizational leaders involved in designing or managing automation initiatives. Its appeal extends to professionals in AI and Machine Learning, UX design, process engineering, business operations, and policy development.
Genre: Non-Fiction > Tech & Devices
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