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Author: Food and Agriculture Organization of the United Nations Publisher: Food & Agriculture Org. ISBN: 9251091870 Category : Social Science Languages : en Pages : 37
Book Description
The understanding that some pesticides are more hazardous than others is well established. Recognition of this is reflected by the World Health Organization (WHO) Recommended Classification of Pesticides by Hazard, which was first published in 1975. The document classifies pesticides in one of five hazard classes according to their acute toxicity. In 2002, the Globally Harmonized System of Classification and Labelling of Chemicals (GHS) was introduced, which in addition to acute toxicity also provides classification of chemicals according to their chronic health hazards and environmental hazards.
Author: Food and Agriculture Organization of the United Nations Publisher: Food & Agriculture Org. ISBN: 9251091870 Category : Social Science Languages : en Pages : 37
Book Description
The understanding that some pesticides are more hazardous than others is well established. Recognition of this is reflected by the World Health Organization (WHO) Recommended Classification of Pesticides by Hazard, which was first published in 1975. The document classifies pesticides in one of five hazard classes according to their acute toxicity. In 2002, the Globally Harmonized System of Classification and Labelling of Chemicals (GHS) was introduced, which in addition to acute toxicity also provides classification of chemicals according to their chronic health hazards and environmental hazards.
Author: United States. Public Health Service. Office of the Surgeon General Publisher: ISBN: Category : Government publications Languages : en Pages : 728
Book Description
This report considers the biological and behavioral mechanisms that may underlie the pathogenicity of tobacco smoke. Many Surgeon General's reports have considered research findings on mechanisms in assessing the biological plausibility of associations observed in epidemiologic studies. Mechanisms of disease are important because they may provide plausibility, which is one of the guideline criteria for assessing evidence on causation. This report specifically reviews the evidence on the potential mechanisms by which smoking causes diseases and considers whether a mechanism is likely to be operative in the production of human disease by tobacco smoke. This evidence is relevant to understanding how smoking causes disease, to identifying those who may be particularly susceptible, and to assessing the potential risks of tobacco products.
Author: United Nations Publisher: UN ISBN: 9789211220537 Category : Languages : en Pages : 232
Book Description
This publication argues that Latin America and the Caribbean are in a position to move towards a "big push for sustainability" through a combination of economic, industrial, social and environmental policies capable of driving an equal and sustainable recovery and relaunching development in the region. Comprised of five chapters, the publication studies the three crises (slow growth, growing inequality and the environmental emergency) affecting economies and societies around the world, placing particular focus on those of Latin America and the Caribbean. It goes on to present a framework for analysing these crises in an integrated manner and measuring their magnitude in the specified regions. It then examines the quantitative impacts on growth, emissions, income distribution and the external sector under different policy scenarios, highlighting the potential of various policy combinations to forge a more dynamic growth path, with lower emissions and greater equality. Further identifying seven sectors that can drive sustainable development and proposing policies to foster these sectors, the publication concludes with an analysis that links up macroeconomic, industrial, social and environmental policies and the role of the State in building consensus for their implementation.
Author: Cecilia Aragon Publisher: MIT Press ISBN: 0262367599 Category : Computers Languages : en Pages : 201
Book Description
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.
Author: Cesar A. Hidalgo Publisher: MIT Press ISBN: 026236252X Category : Computers Languages : en Pages : 257
Book Description
How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more. How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance? How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer tounderstanding the ethical consequences of AI.
Author: Food and Agriculture Organization of the United Nations
Author: Food and Agriculture Organization of the United Nations
Author: United States. Public Health Service. Office of the Surgeon General
Author: United Nations
Author: Moses Maimonides
Author: Ernesto M. Serote
Author: Alan Carter
Author: Florence Farr
Author: Cecilia Aragon
Author: Cesar A. Hidalgo
Author: Jorge Nef