Hoppa till sidans huvudinnehåll

3 119 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Users expect proper explanation and interpretability of all the decisions being taken by machine and deep learning (ML/ DL) algorithms. Interpretable and Trustworthy AI: Techniques and Frameworks covers key requirements for interpretability and trustworthiness of artificial intelligence (AI) models and how these needs can be met. This book explores artificial intelligence’s impact, limitations, and solutions.It examines AI’s role as a transformative technological paradigm. It explores how AI drives business advancement through intelligent software solutions, enabling automation, augmentation, and acceleration of IT-enabled business processes. The book establishes AI’s fundamental capacity to envision and implement sustainable business transformations.It addresses critical challenges in AI adoption, focusing on two key concerns:AI Interpretability: Models typically optimize for accuracy but struggle to capture real-world costs, especially regarding ethics and fairness. Interpretability features help understand model learning processes, available information, and decision justifications within real-world contexts.Trustworthy AI: Business leaders demand responsible AI solutions that prioritize human needs, safety, and privacy. Researchers are developing methods to enhance trust in AI models and their conclusions to accelerate adoption.Finally, the book presents techniques and approaches for creating sustainable, interpretable, and trustworthy AI models. It explores model-agnostic frameworks and methodologies designed to Trustworthy and Transparent AI, Explainable and Interpretable AI, Responsible AI, Generative AI, Agentic AI, and Efficient and Edge AI.With its comprehensive structure, the book provides a comprehensive examination of AI’s potential, its current limitations, and pathways to overcome these challenges for wider adoption.

Produktinformation

  • Utgivningsdatum2025-11-10
  • Mått156 x 234 x 27 mm
  • Vikt930 g
  • FormatInbunden
  • SpråkEngelska
  • Antal sidor402
  • FörlagTaylor & Francis Ltd
  • ISBN9781032960630

Tillhör följande kategorier

Hoppa över listan

Du kanske också är intresserad av

Deep Learning in Engineering, Energy and Finance

Vivek S. Sharma, Shubham Mahajan, Anand Nayyar, Amit Kant Pandit, India) Mahajan, Shubham (SMVDU, Jammu, Vietnam) Nayyar, Anand (Duy Tan University, India) Kant Pandit, Amit (SMVDU, Jammu

Inbunden

2 769 kr

Advanced Fractal Graph Theory and Applications

P. Tharaniya, G. Jayalalitha, Pethuru Raj, B. Sundaravadivazhagan, India) Tharaniya, P. (Rajalakshmi Institute of Technology, India) Jayalalitha, G. (Vels Institute of Science, technology and advanced studies, India) Raj, Pethuru (IBM Pvt.Ltd., B. (University of Technology and Applied Sciences-Al Mussana) Sundaravadivazhagan

Inbunden

1 659 kr

Intelligent Systems and Applications in Computer Vision

Nitin Mittal, Amit Kant Pandit, Mohamed Abouhawwash, Shubham Mahajan, India) Mittal, Nitin (Chandigarh University, India) Kant Pandit, Amit (SMVDU, Jammu, Egypt.) Abouhawwash, Mohamed (Mansoura University, India) Mahajan, Shubham (SMVDU, Jammu

Inbunden

2 939 kr

Intelligent Systems and Applications in Computer Vision

Nitin Mittal, Amit Kant Pandit, Mohamed Abouhawwash, Shubham Mahajan, India) Mittal, Nitin (Chandigarh University, India) Kant Pandit, Amit (SMVDU, Jammu, Egypt.) Abouhawwash, Mohamed (Mansoura University, India) Mahajan, Shubham (SMVDU, Jammu

Häftad

1 049 kr