The world is keen to leverage multi-faceted AI techniques and tools to deploy and deliver the next generation of business and IT applications. Resource-intensive gadgets, machines, instruments, appliances, and equipment spread across a variety of environments are empowered with AI competencies. Connected products are collectively or individually enabled to be intelligent in their operations, offering and output.
AI is being touted as the next-generation technology to visualize and realize a bevy of intelligent systems, networks and environments. However, there are challenges associated with the huge adoption of AI methods. As we give full control to AI systems, we need to know how these AI models reach their decisions. Trust and transparency of AI systems are being seen as a critical challenge. Building knowledge graphs and linking them with AI systems are being recommended as a viable solution for overcoming this trust issue and the way forward to fulfil the ideals of explainable AI.
The authors focus on explainable AI concepts, tools, frameworks and techniques. To make the working of AI more transparent, they introduce knowledge graphs (KG) to support the need for trust and transparency into the functioning of AI systems. They show how these technologies can be used towards explaining data fabric solutions and how intelligent applications can be used to greater effect in finance and healthcare.
Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications is aimed primarily at industry and academic researchers, scientists, engineers, lecturers and advanced students in the fields of IT and computer science, soft computing, AI/ML/DL, data science, semantic web, knowledge engineering and IoT. It will also prove a useful resource for software, product and project managers and developers in these fields.
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This book focuses on Explainable AI (XAI) concepts, tools, frameworks, techniques and applications. It introduces knowledge graphs (KG) to support the need for trust and transparency into the functioning of AI systems, and shows how Intelligent applications can be used to greater effect in finance and healthcare.
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Chapter 1: An overview of past and present progressions in XAIChapter 2: Demystifying explainable artificial intelligence (EAI)Chapter 3: Illustrating the significance of explainable artificial intelligence (XAI)Chapter 4: Inclusion of XAI in artificial intelligence and deep learning technologiesChapter 5: Explainable artificial intelligence: tools, platforms, and new taxonomiesChapter 6: An overview of AI platforms, frameworks, libraries, and processesChapter 7: Quality framework for explainable artificial intelligence (XAI) and machine learning applicationsChapter 8: Methods for explainable artificial intelligenceChapter 9: Knowledge representation and reasoning (KRR)Chapter 10: Knowledge visualization: AI integration with 360-degree dashboardsChapter 11: Empowering machine learning with knowledge graphs for the semantic eraChapter 12: Enterprise knowledge graphs using ensemble learning and data managementChapter 13: Illustrating graph neural networks (GNNs) and the distinct applicationsChapter 14: AI applications - computer vision and natural language processingChapter 15: Machine learning and computer vision - beyond modeling, training, and algorithmsChapter 16: Assistive image caption and tweet development using deep learningChapter 17: Explainable renegotiation for SLA in cloud-based systemChapter 18: Explainable AI for stock price prediction in stock marketChapter 19: Advancements of XAI in healthcare sectorChapter 20: Adequate lung cancer prognosis system using data mining algorithmsChapter 21: Comparison of artificial intelligence models for prognosis of breast cancerChapter 22: AI-powered virtual therapist: for enhanced human-machine interactionChapter 23: Conclusion: an insight into the recent developments and future trends in XAI
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Produktdetaljer
ISBN
9781839536953
Publisert
2023-12-05
Utgiver
Vendor
Institution of Engineering and Technology
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
530
Redaktør