TY  - BOOK
AU  - Sridhar, V.
TI  - Data-centric living: : algorithms, digitization and regulation
SN  - 9781032307336
U1  - 303.4834 
PY  - 2022///
CY  - London
PB  - Routledge
KW  - Online identities
KW  - Artificial intelligence--Economic aspects
KW  - Artificial intelligence--Social aspects
KW  - Computers and civilization
N1  - Table of Contents
1. Data Centric Living: An Introduction

V. Sridhar and Janaki Srinivasan

 

PART I: Challenges of Digitization & Datafication

 

2. Algorithms in Society: Arbitrage, Bias, and Culture

Shrisha Rao

 

3. Artificial Intelligence and its Effect on Employment and Skilling

Arvind Upreti and V. Sridhar

 

4. Continuing Cybernetic Musing: Behaviour Shaping through Data-Driven Feedback

Sachit Rao

 

5. Data-Driven Identities

Silvia Masiero and Savita Bailur

 

6. Inclusive Digital Governance: Reflecting on Public Value in a Food Security Programme

Apoorva Bhalla, Amit Prakash and Swati Ganeshan

 

7. The Social Meaning of Mobile Money: Navigating Digital Payments, Savings and Credit in the Global South

Janaki Srinivasan

 

8. Sharing and Use of Non-Personal Health Information: Case of the COVID-19 Pandemic

V. Sridhar, Jaya Sreevalsan-Nair, Pritesh Rajesh Ghogale, and Reddy Rani Vangimalla

 

PART II: Technology and Regulatory Solutions

 

9. Evaluation of Privacy Policies of Digital Firms

V. Sridhar, Deepti Balaji Raykar and TK Srikanth

 

10. Incorporating Privacy Regulatory Requirements in Building Software

Deepti Balaji Raykar, V. Sridhar and TK Srikanth

 

11. Data Protection Regulation: Comparing Approaches in the US, EU and India

Malavika Raghavan

 

12. Data Localisation and its Effects on Cross Border Digital Trade

V. Sridhar, Sai Rakshith Potluri and Shrisha Rao

 

13. Ethical Standards in Autonomous Systems

Vidushi Marda

 

14. The Epilogue

V. Sridhar and Janaki Srinivasan
N2  - This book explores how data about our everyday online behaviour are collected and how they are processed in various ways by algorithms powered by Artificial Intelligence (AI) and Machine Learning (ML). The book  investigates the socioeconomic effects of these technologies, and the evolving regulatory landscape that is aiming to nurture the positive effects of these technology evolutions while at the same time curbing possible negative practices. The volume scrutinizes growing concerns on how algorithmic decisions can sometimes be biased and discriminative; how autonomous systems can possibly disrupt and impact the labour markets, resulting in job losses in several traditional sectors while creating unprecedented opportunities in others; the rapid evolution of social media that can be addictive at times resulting in associated mental health issues; and the way digital Identities are evolving around the world and their impact on provisioning of government services. The book also provides an in-depth understanding of regulations around the world to protect privacy of data subjects in the online world; a glimpse of how data is used as a digital public good in combating Covid pandemic; and how ethical standards in autonomous systems are evolving in the digital world.

A timely intervention in this fast-evolving field, this book will be useful for scholars and researchers of digital humanities, business and management, internet studies, data sciences, political studies, urban sociology, law, media and cultural studies, sociology, cultural anthropology, and science and technology studies. It will also be of immense interest to the general readers seeking insights on daily digital lives
ER  -