Patrick Hall – författare

The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML''s true benefit, practitioners must understand how to mitigate its risks.

This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.

Learn technical approaches for responsible AI across explainability, model validation and debugging, bias management, data privacy, and ML securityLearn how to create a successful and impactful AI risk management practiceGet a basic guide to existing standards, laws, and assessments for adopting AI technologies, including the new NIST AI Risk Management FrameworkEngage with interactive resources on GitHub and Colab

The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML''s true benefit, practitioners must understand how to mitigate its risks.

This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.

Learn technical approaches for responsible AI across explainability, model validation and debugging, bias management, data privacy, and ML securityLearn how to create a successful and impactful AI risk management practiceGet a basic guide to existing standards, laws, and assessments for adopting AI technologies, including the new NIST AI Risk Management FrameworkEngage with interactive resources on GitHub and Colab

The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Author Patrick Hall created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large.Learn how to create a successful and impactful responsible AI practiceGet a guide to existing standards, laws, and assessments for adopting AI technologiesLook at how existing roles at companies are evolving to incorporate responsible AIExamine business best practices and recommendations for implementing responsible AILearn technical approaches for responsible AI at all stages of system development

We have recently seen a renewal of interest in the field of software architectures. This has happened within the object-oriented community - with the emergenceofframe­ works and patterns- but also within a wider context of software engineering- with the concepts of components and component-based development. Work is now pro­ ceeding apace with new developments coming very rapidly. In such an environment it is easy to lose some important ideas; the need for a reflective view on what will be the lasting developments led us to organise a two day seminar in the Open University as a checkpoint in current development. To this end we gathered field-leaders from both industry and academia to lead a lively discussion and exchange of ideas. This book is a result ofa very successful event. From the outset we were not only interested in the discussion of the technical aspects of architectures within software engineering but also on the business and or­ ganisational implications of these approaches. Independentlyof how we may answer the question "Is architecture or component technology the new ''silver bullet''?" we must recognise that an approach based on the techniques presented in this book is a long term investment and requires changes in organisation and a careful consideration ofbusiness implications to be successful.

Two decades have passed since the devolution of social care policy, with key differences emerging between the UK’s four systems, but what impact have these differences had? This book presents for the first time research on the perspectives of social care policy makers on the four systems in which they operate and the ways in which they borrow from one another. Drawing on extensive interviews with national and local policy makers across the UK, the book raises vital questions about the role of ‘standardisation’ and ‘differentiation’ in social care, concluding that when given equal capacity to reform their respective systems, the regimes in each nation may take radically different shapes.Chapter 4 and chapter 7 are available Open Access under CC-BY-NC-ND licence.

Two decades have passed since the devolution of social care policy, with key differences emerging between the UK’s four systems, but what impact have these differences had? This book presents for the first time research on the perspectives of social care policy makers on the four systems in which they operate and the ways in which they borrow from one another. Drawing on extensive interviews with national and local policy makers across the UK, the book raises vital questions about the role of ‘standardisation’ and ‘differentiation’ in social care, concluding that when given equal capacity to reform their respective systems, the regimes in each nation may take radically different shapes.Chapter 4 and chapter 7 are available Open Access under CC-BY-NC-ND licence.

This book provides a fresh, contemporary perspective on how best to equip enterprises with appropriate IT infrastructures and products. Readers will learn how to strategically manage the relationship between software and organisations using enduring principles. In addition, this book provides a unique insight into managing and developing personnel who work on and with software. Procurement and marshalling of software and the skills required to sustain software in the face of a changing world and requirements are also covered.This book will be invaluable for Computing and Information Systems senior undergraduate and masters students whose subject of study requires strategic consideration of software development and project management.

We have recently seen a renewal of interest in the field of software architectures. This has happened within the object-oriented community - with the emergenceofframe­ works and patterns- but also within a wider context of software engineering- with the concepts of components and component-based development. Work is now pro­ ceeding apace with new developments coming very rapidly. In such an environment it is easy to lose some important ideas; the need for a reflective view on what will be the lasting developments led us to organise a two day seminar in the Open University as a checkpoint in current development. To this end we gathered field-leaders from both industry and academia to lead a lively discussion and exchange of ideas. This book is a result ofa very successful event. From the outset we were not only interested in the discussion of the technical aspects of architectures within software engineering but also on the business and or­ ganisational implications of these approaches. Independentlyof how we may answer the question "Is architecture or component technology the new 'silver bullet'?" we must recognise that an approach based on the techniques presented in this book is a long term investment and requires changes in organisation and a careful consideration ofbusiness implications to be successful.