BOOKS - The Age of Prediction: Algorithms, AI, and the Shifting Shadows of Risk
The Age of Prediction: Algorithms, AI, and the Shifting Shadows of Risk - Igor Tulchinsky August 22, 2023 PDF  BOOKS
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The Age of Prediction: Algorithms, AI, and the Shifting Shadows of Risk
Author: Igor Tulchinsky
Year: August 22, 2023
Format: PDF
File size: PDF 2.5 MB
Language: English



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The Age of Prediction Algorithms AI and the Shifting Shadows of Risk In the modern era, technology has become an integral part of our daily lives, and its evolution has been rapid and relentless. One of the most significant advancements in recent times has been the development of algorithms and artificial intelligence (AI) that have enabled us to predict and analyze vast amounts of data with unprecedented accuracy. The Age of Prediction: Algorithms, AI, and the Shifting Shadows of Risk is a thought-provoking book that delves into the impact of these technologies on our understanding of risk and how they are reshaping our world in profound ways. The book begins by exploring the dramatic advances in quantitative investing and precision medicine, showcasing how predictive technology has revolutionized these fields. However, as prediction becomes more robust, it also leads to unintended and unexpected consequences. For instance, genomic analysis might result in unhealthier lifestyles or GPS navigation might encourage less attentive driving. As we rely more on predictive models, we risk becoming complacent about risk, leading to potentially dangerous outcomes. One of the paradoxical effects of better predictions is the illusion of narrower risks, which can be misleading.
Эра алгоритмов прогнозирования ИИ и смещение теней риска В современную эпоху технологии стали неотъемлемой частью нашей повседневной жизни, и их эволюция была быстрой и неустанной. Одним из наиболее значительных достижений последнего времени стала разработка алгоритмов и искусственного интеллекта (ИИ), которые позволили нам прогнозировать и анализировать огромные объемы данных с беспрецедентной точностью. «Эра прогнозирования: алгоритмы, ИИ и изменение теней риска» - это книга, заставляющая задуматься, которая углубляется в влияние этих технологий на наше понимание риска и того, как они глубоко изменяют наш мир. Книга начинается с изучения значительных достижений в количественном инвестировании и точной медицине, демонстрируя, как технологии прогнозирования произвели революцию в этих областях. Однако, поскольку прогнозирование становится более надежным, оно также приводит к непреднамеренным и неожиданным последствиям. Например, геномный анализ может привести к нездоровому образу жизни, или GPS-навигация может стимулировать менее внимательное вождение. Поскольку мы больше полагаемся на прогностические модели, мы рискуем стать самодовольными в отношении риска, что приведет к потенциально опасным результатам. Одним из парадоксальных эффектов лучших прогнозов является иллюзия более узких рисков, которая может вводить в заблуждение.
L'ère des algorithmes de prévision de L'IA et le déplacement des ombres à risque À L'ère moderne, la technologie est devenue une partie intégrante de notre vie quotidienne et leur évolution a été rapide et inlassable. L'une des réalisations les plus importantes de ces derniers temps a été le développement d'algorithmes et d'intelligence artificielle (IA), qui nous ont permis de prédire et d'analyser d'énormes quantités de données avec une précision sans précédent. « L'ère de la prévision : algorithmes, IA et changement des ombres du risque » est un livre de réflexion qui s'approfondit dans l'impact de ces technologies sur notre compréhension du risque et de la façon dont elles changent profondément notre monde. livre commence par une étude des progrès importants dans l'investissement quantitatif et la médecine de précision, montrant comment les technologies de prévision ont révolutionné ces domaines. Toutefois, à mesure que les prévisions deviennent plus fiables, elles entraînent également des conséquences imprévues et inattendues. Par exemple, l'analyse génomique peut mener à un mode de vie malsain, ou la navigation GPS peut stimuler une conduite moins attentive. Comme nous nous appuyons davantage sur des modèles prédictifs, nous risquons de devenir complaisants en ce qui concerne les risques, ce qui entraînera des résultats potentiellement dangereux. L'un des effets paradoxaux des meilleures prévisions est l'illusion de risques plus étroits qui peuvent être trompeurs.
La era de los algoritmos de predicción de la IA y el desplazamiento de las sombras de riesgo En la era moderna, la tecnología se ha convertido en una parte integral de nuestra vida cotidiana y su evolución ha sido rápida e implacable. Uno de los avances más significativos de los últimos tiempos ha sido el desarrollo de algoritmos e inteligencia artificial (IA) que nos han permitido predecir y analizar enormes cantidades de datos con una precisión sin precedentes. «La era de la predicción: algoritmos, IA y el cambio de las sombras de riesgo» es un libro que hace reflexionar, que profundiza en el impacto de estas tecnologías en nuestra comprensión del riesgo y en cómo cambian profundamente nuestro mundo. libro comienza con un estudio de los avances significativos en la inversión cuantitativa y la medicina de precisión, demostrando cómo las tecnologías de predicción han revolucionado estos campos. n embargo, a medida que la predicción se vuelve más confiable, también produce consecuencias no deseadas e inesperadas. Por ejemplo, el análisis genómico puede conducir a un estilo de vida poco saludable, o la navegación por GPS puede estimular una conducción menos atenta. A medida que confiamos más en los modelos predictivos, corremos el riesgo de volvernos autocomplacientes sobre el riesgo, lo que conducirá a resultados potencialmente peligrosos. Uno de los efectos paradójicos de los mejores pronósticos es la ilusión de riesgos más estrechos que pueden ser engos.
L'era degli algoritmi di previsione dell'IA e lo spostamento delle ombre di rischio Nell'era moderna, le tecnologie sono diventate parte integrante della nostra vita quotidiana e la loro evoluzione è stata rapida e incessante. Uno dei progressi più importanti degli ultimi tempi è stato lo sviluppo di algoritmi e intelligenza artificiale che ci hanno permesso di prevedere e analizzare enormi quantità di dati con una precisione senza precedenti. «L'era della previsione: algoritmi, IA e cambiamento delle ombre di rischio» è un libro che fa riflettere sull'impatto di queste tecnologie sulla nostra comprensione dei rischi e sul modo in cui cambiano profondamente il nostro mondo. Il libro inizia esplorando notevoli progressi nell'investimento quantitativo e nella medicina di precisione, dimostrando come le tecnologie di previsione hanno rivoluzionato questi settori. Tuttavia, poiché la previsione diventa più affidabile, ha anche conseguenze involontarie e inattese. Ad esempio, l'analisi genomica può portare a uno stile di vita malsano, o la navigazione GPS può stimolare una guida meno attenta. Dato che ci affidiamo di più ai modelli predittivi, rischiamo di essere compiacenti nei confronti del rischio, portando a risultati potenzialmente pericolosi. Uno degli effetti paradossali delle migliori previsioni è l'illusione di rischi più stretti che può ingannare.
Die Ära der KI-Vorhersagealgorithmen und die Verschiebung von Risikoschatten In der modernen Zeit sind Technologien zu einem festen Bestandteil unseres täglichen bens geworden, und ihre Entwicklung war schnell und unerbittlich. Eine der bedeutendsten Errungenschaften der letzten Zeit war die Entwicklung von Algorithmen und künstlicher Intelligenz (KI), die es uns ermöglicht haben, riesige Datenmengen mit beispielloser Genauigkeit vorherzusagen und zu analysieren. Das Zeitalter der Vorhersage: Algorithmen, KI und die Veränderung von Risikoschatten ist ein Buch, das zum Nachdenken anregt und die Auswirkungen dieser Technologien auf unser Risikoverständnis und die Art und Weise, wie sie unsere Welt tiefgreifend verändern, vertieft. Das Buch beginnt mit der Untersuchung bedeutender Fortschritte in der quantitativen Investition und Präzisionsmedizin und zeigt, wie Prognosetechnologien diese Bereiche revolutioniert haben. Da die Vorhersage jedoch zuverlässiger wird, führt sie auch zu unbeabsichtigten und unerwarteten Konsequenzen. Zum Beispiel kann die genomische Analyse zu einem ungesunden bensstil führen, oder die GPS-Navigation kann weniger rücksichtsvolles Fahren fördern. Da wir uns mehr auf Vorhersagemodelle verlassen, laufen wir Gefahr, selbstgefällig gegenüber dem Risiko zu werden, was zu potenziell gefährlichen Ergebnissen führt. Einer der paradoxen Effekte besserer Prognosen ist die Illusion engerer Risiken, die irreführend sein können.
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Yapay Zeka Tahmin Algoritmaları ve Değişen Risk Gölgeleri Dönemi Modern çağda, teknoloji günlük hayatımızın ayrılmaz bir parçası haline geldi ve evrimi hızlı ve acımasız oldu. Son zamanlardaki en önemli gelişmelerden biri, büyük miktarda veriyi benzeri görülmemiş bir doğrulukla tahmin etmemizi ve analiz etmemizi sağlayan algoritmaların ve yapay zekanın (AI) geliştirilmesidir. "Tahmin Dönemi: Algoritmalar, AI ve Riskin Gölgelerini Değiştirme", bu teknolojilerin risk anlayışımız üzerindeki etkisini ve dünyamızı nasıl derinden değiştirdiklerini araştıran düşündürücü bir kitaptır. Kitap, nicel yatırım ve hassas tıptaki önemli gelişmeleri inceleyerek, öngörücü teknolojinin bu alanlarda nasıl devrim yarattığını göstererek başlıyor. Bununla birlikte, tahmin daha güvenilir hale geldikçe, istenmeyen ve beklenmedik sonuçlara da yol açar. Örneğin, genomik analiz sağlıksız yaşam tarzlarına yol açabilir veya GPS navigasyonu daha az özenli sürüşü teşvik edebilir. Öngörücü modellere daha fazla güvendiğimiz için, potansiyel olarak tehlikeli sonuçlara yol açan risk konusunda şikayetçi olma riskiyle karşı karşıyayız. Daha iyi tahminlerin paradoksal bir etkisi, yanıltıcı olabilen daha dar risklerin yanılsamasıdır.
AI預測算法的時代和風險陰影的轉移在現代時代,技術已成為我們日常生活不可或缺的一部分,其演變是快速而無情的。最近最重要的成就之一是算法和人工智能(AI)的開發,使我們能夠以前所未有的精度預測和分析大量數據。「預測時代:算法、人工智能和改變風險陰影」是一本思考的書,深入探討了這些技術對我們對風險的理解以及它們如何深刻改變我們的世界的影響。該書首先探討了定量投資和精密醫學方面的重大進步,展示了預測技術如何徹底改變了這些領域。但是,隨著預測變得更加可靠,它也會產生意想不到的和意想不到的後果。例如,基因組分析可能導致不健康的生活方式,或者GPS導航可能會鼓勵註意力較少的駕駛。隨著我們更多地依賴預測模型,我們有可能對風險自滿,從而導致潛在的危險結果。最好的預測的一個矛盾影響是可能誤導的狹隘風險的幻覺。

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