Ethics, Machine Learning, and Python in Geospatial Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ethics, Machine Learning, and Python in Geospatial Analysis write by Mohammad Gouse Galety. This book was released on 2024-04-29. Ethics, Machine Learning, and Python in Geospatial Analysis available in PDF, EPUB and Kindle. In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book's meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques.
Ethics, Machine Learning, and Python in Geospatial Analysis
Ethics, Machine Learning, and Python in Geospatial Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ethics, Machine Learning, and Python in Geospatial Analysis write by Galety, Mohammad Gouse. This book was released on 2024-04-29. Ethics, Machine Learning, and Python in Geospatial Analysis available in PDF, EPUB and Kindle. In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book’s meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques.
The Ethical Frontier of AI and Data Analysis
The Ethical Frontier of AI and Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Ethical Frontier of AI and Data Analysis write by Kumar, Rajeev. This book was released on 2024-03-04. The Ethical Frontier of AI and Data Analysis available in PDF, EPUB and Kindle. In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation. Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially.
Ethics in the AI, Technology, and Information Age
Ethics in the AI, Technology, and Information Age - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ethics in the AI, Technology, and Information Age write by Michael Boylan. This book was released on 2022-05-11. Ethics in the AI, Technology, and Information Age available in PDF, EPUB and Kindle. Increasingly, technology, the Internet and social media are playing a major part in our lives. What should we think about the ethical issues that arise, such as the changing role of intelligent machines in this Information Age? The impact of technology upon society is a perennial question, but the power of computing and artificial intelligence has ratcheted up the ethical implications of this relationship. It merits careful consideration. Ethics in the AI, Technology, and Information Age brings together a cohort of international scholars to explore the ethical ramifications of the latest technologies and their effects on our lives. This it does in three parts: (1) theoretical considerations, (2) practical applications, and (3) challenges. Beginning with theoretical essays, the book investigates the relationship between technology and nature, the limits of being “human” versus “machine,” and the moral implications of artificial intelligence. The book then examines key questions; such as ownership of technology, artificial intelligence’s replacement of human jobs and functions, privacy and cybersecurity, the ethics of self-driving cars, and the problematic aspects of drone warfare. With an appendix of films and documentaries to inspire further discussion on these topics, students and scholars will find Ethics in the AI, Technology, and Information Age an essential and engaging resource both in the classroom and in their daily technology-filled lives.
Ethics of Data and Analytics
Ethics of Data and Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ethics of Data and Analytics write by Kirsten Martin. This book was released on 2022-05-12. Ethics of Data and Analytics available in PDF, EPUB and Kindle. The ethics of data and analytics, in many ways, is no different than any endeavor to find the "right" answer. When a business chooses a supplier, funds a new product, or hires an employee, managers are making decisions with moral implications. The decisions in business, like all decisions, have a moral component in that people can benefit or be harmed, rules are followed or broken, people are treated fairly or not, and rights are enabled or diminished. However, data analytics introduces wrinkles or moral hurdles in how to think about ethics. Questions of accountability, privacy, surveillance, bias, and power stretch standard tools to examine whether a decision is good, ethical, or just. Dealing with these questions requires different frameworks to understand what is wrong and what could be better. Ethics of Data and Analytics: Concepts and Cases does not search for a new, different answer or to ban all technology in favor of human decision-making. The text takes a more skeptical, ironic approach to current answers and concepts while identifying and having solidarity with others. Applying this to the endeavor to understand the ethics of data and analytics, the text emphasizes finding multiple ethical approaches as ways to engage with current problems to find better solutions rather than prioritizing one set of concepts or theories. The book works through cases to understand those marginalized by data analytics programs as well as those empowered by them. Three themes run throughout the book. First, data analytics programs are value-laden in that technologies create moral consequences, reinforce or undercut ethical principles, and enable or diminish rights and dignity. This places an additional focus on the role of developers in their incorporation of values in the design of data analytics programs. Second, design is critical. In the majority of the cases examined, the purpose is to improve the design and development of data analytics programs. Third, data analytics, artificial intelligence, and machine learning are about power. The discussion of power—who has it, who gets to keep it, and who is marginalized—weaves throughout the chapters, theories, and cases. In discussing ethical frameworks, the text focuses on critical theories that question power structures and default assumptions and seek to emancipate the marginalized.
