Neel Ahuja tracks the figure of the climate refugee in public media and policy over the past decade, arguing that journalists, security experts, politicians, and nongovernmental organizations have often oversimplified climate change and obfuscated the processes that drive mass migration. To understand the systemic reasons for displacement, Ahuja argues, it is necessary to reframe climate disaster as interlinked with the history of capitalism and the global politics of race, wherein racist presumptions about agrarian underdevelopment and Indigenous knowledge mask how financial, development, migration, and climate adaptation policies reproduce growing inequalities. Drawing on the work of Cedric Robinson and theories of racial capitalism, Ahuja considers how the oil industry transformed the economic and geopolitical processes that lead to displacement. From South Asia to the Persian Gulf, Europe, and North America, Ahuja studies how Asian trade, finance, and labor connections have changed the nature of race, borders, warfare, and capitalism since the 1970s. Ultimately, Ahuja argues that only by reckoning with how climate change emerges out of longer histories of race, colonialism, and capitalism can we begin to build a sustainable and just future for those most affected by environmental change.
Neel Ahuja tracks the figure of the climate refugee in public media and policy over the past decade, arguing that journalists, security experts, politicians, and nongovernmental organizations have often oversimplified climate change and obfuscated the processes that drive mass migration. To understand the systemic reasons for displacement, Ahuja argues, it is necessary to reframe climate disaster as interlinked with the history of capitalism and the global politics of race, wherein racist presumptions about agrarian underdevelopment and Indigenous knowledge mask how financial, development, migration, and climate adaptation policies reproduce growing inequalities. Drawing on the work of Cedric Robinson and theories of racial capitalism, Ahuja considers how the oil industry transformed the economic and geopolitical processes that lead to displacement. From South Asia to the Persian Gulf, Europe, and North America, Ahuja studies how Asian trade, finance, and labor connections have changed the nature of race, borders, warfare, and capitalism since the 1970s. Ultimately, Ahuja argues that only by reckoning with how climate change emerges out of longer histories of race, colonialism, and capitalism can we begin to build a sustainable and just future for those most affected by environmental change.
In Bioinsecurities Neel Ahuja argues that U.S. imperial expansion has been shaped by the attempts of health and military officials to control the interactions of humans, animals, viruses, and bacteria at the borders of U.S. influence, a phenomenon called the government of species. The book explores efforts to control the spread of Hansen's disease, venereal disease, polio, smallpox, and HIV through interventions linking the continental United States to Hawai'i, Panamá, Puerto Rico, Cuba, Congo, Iraq, and India in the twentieth and twenty-first centuries. Ahuja argues that racial fears of contagion helped to produce public optimism concerning state uses of pharmaceuticals, medical experimentation, military intervention, and incarceration to regulate the immune capacities of the body. In the process, the security state made the biological structures of human and animal populations into sites of struggle in the politics of empire, unleashing new patient activisms and forms of resistance to medical and military authority across the increasingly global sphere of U.S. influence.
Humans have always dreamed of automating laborious physical and intellectual tasks, but the latter has proved more elusive than naively suspected. Seven decades of systematic study of Artificial Intelligence have witnessed cycles of hubris and despair. The successful realization of General Intelligence (evidenced by the kind of cross-domain flexibility enjoyed by humans) will spawn an industry worth billions and transform the range of viable automation tasks.The recent notable successes of Machine Learning has lead to conjecture that it might be the appropriate technology for delivering General Intelligence. In this book, we argue that the framework of machine learning is fundamentally at odds with any reasonable notion of intelligence and that essential insights from previous decades of AI research are being forgotten. We claim that a fundamental change in perspective is required, mirroring that which took place in the philosophy of science in the mid 20th century. We propose a framework for General Intelligence, together with a reference architecture that emphasizes the need for anytime bounded rationality and a situated denotational semantics. We given necessary emphasis to compositional reasoning, with the required compositionality being provided via principled symbolic-numeric inference mechanisms based on universal constructions from category theory.• Details the pragmatic requirements for real-world General Intelligence.• Describes how machine learning fails to meet these requirements.• Provides a philosophical basis for the proposed approach.• Provides mathematical detail for a reference architecture.• Describes a research program intended to address issues of concern in contemporary AI.The book includes an extensive bibliography, with ~400 entries covering the history of AI and many related areas of computer science and mathematics.The target audience is the entire gamut of Artificial Intelligence/Machine Learning researchers and industrial practitioners. There are a mixture of descriptive and rigorous sections, according to the nature of the topic. Undergraduate mathematics is in general sufficient. Familiarity with category theory is advantageous for a complete understanding of the more advanced sections, but these may be skipped by the reader who desires an overall picture of the essential concepts This is an open access book.
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