Critical Data Studies CDS - Algorithmic Bias and Discrimination
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Critical Data Studies CDS - Algorithmic Bias And Discrimination
| Author: | الأستاذ الدكتور فارس رشيد البياتي |
| Category: | Postgraduate Research [Edit] |
| Language: | English |
| Pages: | 345 |
| File Size: | 2.1 MB |
| Extension: | |
| Creation Date: | 25 Mar 2024 |
| Rank: | 489,676 No 1 most popular |
| Short link: | Copy |
| More books like this book | |
الأستاذ الدكتور فارس
الأمين العام للرابطة الدولية للباحث العلمي - لندن
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Book Critical Data Studies CDS - Algorithmic Bias and Discrimination .
الأمين العام للرابطة الدولية للباحث العلمي- لندن 2018 ولغايته • مصنف عالم عربي من المحفل الدولي للعلماء 2018. • مدير مركز الشرق الأوسط لجامعات أمريكا الوسطى منذ 2021 ولغايته • رئيس جامعة ذكية للتعليم المدمج منذ2010- ولغاية 2021 دولة الإمارات • رئيس المركز البريطاني للأستشارات والبحث العلمي–أبوظبي ولغايته • عضو الجمعية الأمريكية للعلوم المتقدمةAAAS . حاليا . عضو الجمعية الأمريكية للعلوم الاقتصادية • عضو الجمعية الأمريكية لعلم النفس–لجنة المعايير الدولية– APA • رئيس الهيئة الإستشارية لمجلة الاجتماعيين الإماراتية منذ2011ولغايته • حاصل على نوط الخدمة الاجتماعية–ديوان إمارة الشارقة2021 • حاصل على شهادات وجوائز دولية ومحلية • مسجل بإسمي نظرية فلسفية علمية – جامعة VALLEYالأمريكية2023 • صدر لي العشرات من الكتب العلمية ومنها يدرس في الجامعات وباللغتين ومنها ما يلي: • الحاوي في البحث العلمي، الموسوعة العالمية للبحث العلمي (موسوعي)، الدولة البيضاء، هندسة بناء الدولة الإدارية والاقتصادية، الوجيز في العلاقات الاقتصادية الدولية، الفساد المالي والإداري – معالجات بطريقة الأنظمة التكاملية، من الشرق إلى الغرب رؤى متباينة للنهضة العربية والتفاعل الفكري.جماليات لغة الحب الألهي، الجدران رحلة الحرية وحقوق الإنسان..واكثر من 300 كتاب. • رأس عددا كبيرا من المؤتمرات والورش العلمية ولجان التحكيم والندوات العلمية الدولية. • إستضافني عدد من الدول والجامعات لألقاء محاضرات علمية. . متفرغ للتأليف العلمي والثقافي ونشر المعرفة والمحاضرات العلمية بالتخصصات البحث العلمي والاقتصاد السياسي والفلسفة وقفا لوجه الله تعالى.
Book Description
In the digital age, data has become a powerful currency shaping our lives in ways we might not always recognize. From the ads we see online to the news stories that pop up in our feeds, algorithms fueled by vast amounts of data are constantly making decisions that affect us. But behind the scenes, there's a growing awareness of a troubling issue: algorithmic bias and discrimination.
Welcome to our book on Critical Data Studies (CDS) and algorithmic bias. In these pages, we delve into the complex interplay between data, technology, and society, exploring how biases embedded within algorithms can perpetuate discrimination and inequality.
In our interconnected world, data is everywhere. It's generated by our online interactions, tracked by sensors in our smartphones, and collected by companies and governments. This wealth of data has fueled the rise of machine learning and artificial intelligence (AI), promising to revolutionize everything from healthcare to transportation.
But as we entrust more decisions to algorithms, we must confront a stark reality: these systems are not neutral. They reflect the biases and prejudices inherent in the data they're trained on, leading to discriminatory outcomes that can disproportionately impact marginalized communities.
In this book, we embark on a journey to understand the roots of algorithmic bias and discrimination, exploring the social, political, and ethical dimensions of data-driven technologies. We examine case studies from various domains, from criminal justice to hiring practices, revealing how algorithmic decision-making can perpetuate systemic inequalities.
But we don't stop there. We also explore strategies for addressing algorithmic bias, from technical approaches like fairness-aware algorithms to policy solutions such as transparency and accountability measures. We highlight the importance of interdisciplinary collaboration, bringing together researchers, policymakers, and activists to tackle this pressing issue from multiple angles.
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