Author: Paul BlackPublisher: Granada Learning
ISBN: 9780708713815
Category : Education
Languages : en
Pages : 24
Book Description
Offers practical advice on using and improving assessment for learning in the classroom.
Author: Paul BlackBlack Box Thinking
Author: Matthew SyedPublisher: Penguin
ISBN: 069840887X
Category : Business & Economics
Languages : en
Pages : 377
Book Description
Nobody wants to fail. But in highly complex organizations, success can happen only when we confront our mistakes, learn from our own version of a black box, and create a climate where it’s safe to fail. We all have to endure failure from time to time, whether it’s underperforming at a job interview, flunking an exam, or losing a pickup basketball game. But for people working in safety-critical industries, getting it wrong can have deadly consequences. Consider the shocking fact that preventable medical error is the third-biggest killer in the United States, causing more than 400,000 deaths every year. More people die from mistakes made by doctors and hospitals than from traffic accidents. And most of those mistakes are never made public, because of malpractice settlements with nondisclosure clauses. For a dramatically different approach to failure, look at aviation. Every passenger aircraft in the world is equipped with an almost indestructible black box. Whenever there’s any sort of mishap, major or minor, the box is opened, the data is analyzed, and experts figure out exactly what went wrong. Then the facts are published and procedures are changed, so that the same mistakes won’t happen again. By applying this method in recent decades, the industry has created an astonishingly good safety record. Few of us put lives at risk in our daily work as surgeons and pilots do, but we all have a strong interest in avoiding predictable and preventable errors. So why don’t we all embrace the aviation approach to failure rather than the health-care approach? As Matthew Syed shows in this eye-opening book, the answer is rooted in human psychology and organizational culture. Syed argues that the most important determinant of success in any field is an acknowledgment of failure and a willingness to engage with it. Yet most of us are stuck in a relationship with failure that impedes progress, halts innovation, and damages our careers and personal lives. We rarely acknowledge or learn from failure—even though we often claim the opposite. We think we have 20/20 hindsight, but our vision is usually fuzzy. Syed draws on a wide range of sources—from anthropology and psychology to history and complexity theory—to explore the subtle but predictable patterns of human error and our defensive responses to error. He also shares fascinating stories of individuals and organizations that have successfully embraced a black box approach to improvement, such as David Beckham, the Mercedes F1 team, and Dropbox.
Author: Michael J. Behe
Author: Bethan Marshall
Author: Michael Connelly
Author: Nathan RosenbergBetween the Black Box and the White Cube
Author: Andrew V. UroskiePublisher: University of Chicago Press
ISBN: 022610902X
Category : Art
Languages : en
Pages : 284
Book Description
Today, the moving image is ubiquitous in global contemporary art. The first book to tell the story of the postwar expanded cinema that inspired this omnipresence, Between the Black Box and the White Cube travels back to the 1950s and 1960s, when the rise of television caused movie theaters to lose their monopoly over the moving image, leading cinema to be installed directly alongside other forms of modern art. Explaining that the postwar expanded cinema was a response to both developments, Andrew V. Uroskie argues that, rather than a formal or technological innovation, the key change for artists involved a displacement of the moving image from the familiarity of the cinematic theater to original spaces and contexts. He shows how newly available, inexpensive film and video technology enabled artists such as Nam June Paik, Robert Whitman, Stan VanDerBeek, Robert Breer, and especially Andy Warhol to become filmmakers. Through their efforts to explore a fresh way of experiencing the moving image, these artists sought to reimagine the nature and possibilities of art in a post-cinematic age and helped to develop a novel space between the “black box” of the movie theater and the “white cube” of the art gallery. Packed with over one hundred illustrations, Between the Black Box and the White Cube is a compelling look at a seminal moment in the cultural life of the moving image and its emergence in contemporary art.
Interpretable Machine Learning
Author: Christoph MolnarPublisher: Lulu.com
ISBN: 0244768528
Category : Artificial intelligence
Languages : en
Pages : 320
Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
The Black Box Society
Author: Frank PasqualePublisher: Harvard University Press
ISBN: 0674967100
Category : Law
Languages : en
Pages : 320
Book Description
Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives. Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior. Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.
