Responsible AI in Practice: A Practical Guide to Safe and Human AI - Image 1

£39.33

Apress Responsible AI in Practice: A Practical Guide to Safe and Human AI

Name: Responsible AI in Practice: A Practical Guide to Safe and Human AI
Brand: Apress
Price: 39.87 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 84 days • 81 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 84 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £40 (30 days, 37.0%)

Price range: £36 - £43

Price levels: 6 different prices over 81 days

Description

This book is the first practical book on AI risk assessment and management. It will enable you to evaluate and implement safe and accurate AI models and applications. The book features risk assessment frameworks, statistical metrics and code, a risk taxonomy curated from real-world case studies, and insights into AI regulation and policy, and is an essential tool for AI governance teams, AI auditors, AI ethicists, machine learning (ML) practitioners, Responsible AI practitioners, and computer science and data science students building safe and trustworthy AI systems across businesses, organizations, and universities. The centerpiece of this book is a risk management and assessment framework titled “Safe Human-centered AI (SAFE-HAI),” which highlights AI risks across the following Responsible AI principles: accuracy, sustainability and robustness, explainability, transparency and accountability, fairness, privacy and human rights, human-centered AI, and AI governance. Using several statistical metrics such as Area Under Curve (AUC), Rank Graduation Accuracy, and Shapley values, you will learn to apply Lorenz curves to measure risk and inequality across the different principles and will be equipped with a taxonomy/scoring rubric to identify and mitigate identified risks. This book is a true practical guide and covers a real-world case study using the proposed SAFE-HAI framework. The book will help you adopt standards and voluntary codes of conduct in compliance with AI risk and safety policies and regulations, including those from the NIST (National Institute of Standards and Technology) and EU AI Act (European Commission). What You Will Learn Know the key principles behind Responsible AI and associated risks Become familiar with risk assessment frameworks, statistical metrics, and mitigation measures for identified risks Be aware of the fundamentals of AI regulations and policies and how to adopt them Understand AI governance basics and implementation guidelines Who This Book Is For AI governance teams, AI auditors, AI ethicists, machine learning (ML) practitioners, Responsible AI practitioners, and computer science and data science students building safe and trustworthy AI systems across businesses, organizations, and universities

Product Specifications

Brand: Apress
Format: paperback
ASIN: B0DJSBJTHD
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 25 January 2025
Listed Since: 10 October 2024

Barcode

No barcode data available

Apress Responsible AI in Practice: A Practical Guide to Safe and Human AI

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Principles of AI Governance and Model Risk Management: Master the Techniques for Ethical and Transparent AI Systems

Auditing Artificial Intelligence: A Handbook for Audit, Risk, and Security Professionals

Platform and Model Design for Responsible AI: Design and build resilient, private, fair, and transparent machine learning models

Responsible AI and Ethical Issues for Businesses and Governments (Advances in Human and Social Aspects of Technology)

Responsible AI: Implementing Ethical and Unbiased Algorithms

Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations

AI Management Framework: Practical Solutions for Ethical AI Deployment and Continuous Improvement

Responsible AI and Ethical Issues for Businesses and Governments

AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI

AI Data Privacy and Protection: The Complete Guide to Ethical AI, Data Privacy, and Security

Architecting Enterprise AI Applications: A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions

AI Data Privacy and Protection: The Complete Guide to Ethical AI, Data Privacy, and Security

AIGP Study guide: AI Governance from scratch.

AIGP Study guide: AI Governance from scratch.

Introduction to AI Safety, Ethics, and Society

IAPP® AIGP® Artificial Intelligence Governance Professional™ Comprehensive Study Guide

The Low-Code AI Maturity Model: Leading Responsible AI Transformation with Microsoft Power Platform

Artificial Intelligence: Principles and Practice

The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics

O'Reilly Machine Learning for High-Risk Applications Book

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)

Apress Essential Data Analytics, Data Science, and AI Guide

Human-Centered AI: A Multidisciplinary Perspective for Policy-Makers, Auditors, and Users (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)

Risks of Artificial Intelligence