The Adoption Machine

MAY 2014. The Irish public woke to the horrific discovery of a mass grave containing the remains of most 800 babies in the ‘Angels’ Plot’ of Tuam’s Mother and Baby Home. What followed would rock the last vestiges of Catholic Ireland, enrage an increasingly secularised nation, and lead to a Commission of Inquiry. In The Adoption Machine, Paul Jude Redmond, Chairperson of the Coalition of Mother and Baby Homes Survivors, who himself was born in the Castlepollard Home, candidly reveals the shocking history of one of the worst abuses of Church power since the foundation of the Irish State. From Bessboro, Castlepollard, and Sean Ross Abbey to St. Patrick’s and Tuam, a dark shadow was cast by the collusion between Church and State in the systematic repression of women and the wilful neglect of illegitimate babies, resulting in the deaths of thousands. It was Paul’s exhaustive research that widened the global media’s attention to all the homes and revealed Tuam as just the tip of the iceberg of the horrors that lay beneath. He further reveals the vast profits generated by selling babies to wealthy adoptive parents, and details how infants were volunteered to a pharmaceutical company for drug trials without the consent of their natural mothers. Interwoven throughout is Paul’s poignant and deeply personal journey of discovery as he attempts to find his own natural mother. The Adoption Machine exposes this dark history of Ireland’s shameful and secret past, and the efforts to bring it into the light. It is a history from which there is no turning away.

A New York Times Notable Book The shocking truth about postwar adoption in America, told through the bittersweet story of one teenager, the son she was forced to relinquish, and their search to find each other. “[T]his book about the past might foreshadow a coming shift in the future… ‘I don’t think any legislators in those states who are anti-abortion are actually thinking, “Oh, great, these single women are gonna raise more children.” No, their hope is that those children will be placed for adoption. But is that the reality? I doubt it.’”[says Glaser]” -Mother Jones During the Baby Boom in 1960s America, women were encouraged to stay home and raise large families, but sex and childbirth were taboo subjects. Premarital sex was common, but birth control was hard to get and abortion was illegal. In 1961, sixteen-year-old Margaret Erle fell in love and became pregnant. Her enraged family sent her to a maternity home, where social workers threatened her with jail until she signed away her parental rights. Her son vanished, his whereabouts and new identity known only to an adoption agency that would never share the slightest detail about his fate. The adoption business was founded on secrecy and lies. American Baby lays out how a lucrative and exploitative industry removed children from their birth mothers and placed them with hopeful families, fabricating stories about infants' origins and destinations, then closing the door firmly between the parties forever. Adoption agencies and other organizations that purported to help pregnant women struck unethical deals with doctors and researchers for pseudoscientific "assessments," and shamed millions of women into surrendering their children. The identities of many who were adopted or who surrendered a child in the postwar decades are still locked in sealed files. Gabrielle Glaser dramatically illustrates in Margaret and David’s tale--one they share with millions of Americans—a story of loss, love, and the search for identity.

"This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity"--

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.

AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.

"This volume uncovers and substantiates evidence of the mandate in Canada, interrogates social work policies and practices, revisits the semi-incarceral "homes for unwed mothers," and quantifies the mandate through an extensive review of provincial reports; ultimately finding that approximately 300,000 unmarried mothers in Canada were impacted by illegal and unethical adoption practices, human rights abuses, and violence against the maternal body."--

This essay examines the primacy of worldbuilding in the age of CGI, transmedia practices and "high concept" fiction by studying the principles that govern the creation of a multiverse in a wide range of film and TV productions. Emphasis is placed on Hollywood sci-fi movies and their on-screen representation of imaginary machines that mirror the film medium, following in the tradition of Philip K. Dick's writings and the cyberpunk culture. A typology of worlds is established, as well as a number of analytical tools for assessing the impact of the coexistence of two or more worlds on the narrative structure, the style (uses of color, editing practices), the generic affiliation (or hybridity), the seriality and the discourse produced by a given film (particularly in fictions linked to post-9/11 fantasies). Among the various titles examined, the reader is offered a detailed analysis of the Resident Evil film series, Total Recall and its remake, Dark City, the Matrix trilogy, Avatar, Source Code and other time-loop films, TRON and its sequel, Christopher Nolan's Tenet, and several TV shows – most notably HBO's Westworld, but also Sliders, Lost, Fringe and Counterpart.