Making Sense of AI: Our Algorithmic World

Artificial intelligence (AI) is a controversial topic with economic, political, social, and cultural consequences. Elliott's book "Making Sense of AI" provides a systematic account of how automated intelligent machines impact different spheres of public and private life, including workforces, surveillance capitalism, warfare, racist robots, and social inequalities. It also considers AI's role in confronting global risks and social futures, such as global pandemics and climate change. The book is valuable for students and general readers with little or no previous knowledge of AI.

\n Format: Hardback
\n Length: 220 pages
\n Publication date: 15 October 2021
\n Publisher: Polity Press
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The advent of industrial robots, self-driving cars, customer-service chatbots, and Google's algorithmic predictions has sparked a heated public debate surrounding artificial intelligence (AI). This technology has ignited intense controversy due to its far-reaching economic, political, social, and cultural consequences. In his book, "Making Sense of AI," Elliott delves into the intricate dynamics of how automated intelligent machines shape various aspects of public and private life.

Automation of Workforces:

One of the central themes of Elliott's book is the impact of AI on the workforce. He explores how the automation of repetitive and routine tasks has led to job displacement and economic inequality. While AI has the potential to increase productivity and efficiency, it also threatens the livelihoods of many workers who rely on manual labor. Elliott raises concerns about the potential for AI to exacerbate social tensions and create a divide between those who have access to technology and those who do not.

Surveillance Capitalism:

Another critical aspect of AI's impact is its role in surveillance capitalism. Elliott argues that AI-powered systems enable companies to collect vast amounts of personal data from individuals, which can then be used to target advertising and other commercial interests. This practice raises concerns about privacy, consent, and the erosion of individual autonomy. Elliott suggests that the increasing reliance on AI-driven marketing strategies may lead to the further commodification of human experiences and the reinforcement of existing social inequalities.

Warfare and Lethal Autonomous Weapons:

The development of AI has also raised profound ethical questions about warfare and the use of lethal autonomous weapons. Elliott explores how AI can be used to enhance military capabilities, such as targeting and surveillance, and how it can contribute to the escalation of conflicts. He raises concerns about the potential for AI to make war more unpredictable, unpredictable, and difficult to control, leading to unintended consequences and human casualties.

Spread of Racist Robots:

Another alarming consequence of AI is the spread of racist and discriminatory robots. Elliott argues that the use of AI algorithms to train these robots can perpetuate biases and reinforce existing social inequalities. He highlights the case of Amazon's facial recognition technology, which was found to be less accurate for people of color than for white individuals, perpetuating harmful stereotypes and perpetuating social divisions.

Automation of Social Inequalities:

AI has the potential to automate social inequalities and exacerbate existing disparities. Elliott explores how AI-powered systems can be used to automate hiring, lending, and other decision-making processes, which can lead to discrimination against marginalized groups. He suggests that the increasing reliance on AI-driven systems may perpetuate existing social hierarchies and reinforce existing power structures.

Confronting Global Risks and Social Futures:

Despite the challenges posed by AI, Elliott also recognizes its potential to address global risks and social futures. He discusses how AI can be used to combat global pandemics such as COVID-19, by analyzing data and identifying patterns to predict outbreaks and develop effective responses. Elliott also highlights how smart algorithms are impacting the search for energy security and combating climate change.

Making Sense of AI:

"Making Sense of AI" is a judiciously comprehensive account of artificial intelligence for those with little or no previous knowledge of the topic. Elliott provides a systematic exploration of how automated intelligent machines impact different spheres and aspects of public and private life. The book is organized into five chapters, each dedicated to a specific aspect of AI's impact.

The first chapter provides an introduction to the concept of AI and its historical development. Elliott explains the different types of AI, such as machine learning, natural language processing, and robotics, and how they are being used in various industries. He also discusses the ethical and social considerations surrounding AI, such as privacy, bias, and accountability.

The second chapter explores the impact of AI on the workforce. Elliott discusses how automation is displacing jobs and creating new opportunities for workers. He also examines the potential for AI to enhance job skills and improve productivity. However, he raises concerns about the impact of AI on job security and the need for workers to adapt to new technologies.

The third chapter focuses on surveillance capitalism and the ethical implications of AI-powered systems. Elliott argues that the collection and analysis of personal data by companies can be used to target advertising and other commercial interests, but it can also lead to the erosion of individual autonomy and privacy. He suggests that policymakers and companies need to develop ethical guidelines and regulations to ensure that AI is used responsibly and transparently.

The fourth chapter explores the impact of AI on warfare and the use of lethal autonomous weapons. Elliott argues that the development of AI can enhance military capabilities, but it can also contribute to the escalation of conflicts and the risk of unintended consequences. He suggests that policymakers need to develop international regulations and agreements to ensure that the use of AI in warfare is controlled and limited.

The fifth chapter examines the spread of racist and discriminatory robots and the automation of social inequalities. Elliott argues that the use of AI algorithms to train these robots can perpetuate biases and reinforce existing social inequalities. He suggests that policymakers and companies need to develop ethical guidelines and regulations to ensure that AI is used to promote diversity and inclusion.

Conclusion:

The advent of industrial robots, self-driving cars, customer-service chatbots, and Google's algorithmic predictions has brought the topic of artificial intelligence into public debate. While AI has the potential to bring about significant benefits, it also poses significant risks and challenges. In his book, "Making Sense of AI," Elliott provides a comprehensive account of how automated intelligent machines impact different spheres and aspects of public and private life. He raises important ethical and social considerations surrounding AI, such as automation of workforces, surveillance capitalism, warfare and lethal autonomous weapons, the spread of racist robots, and the automation of social inequalities. By examining these issues, Elliott helps readers understand the complex dynamics of AI and its potential to shape our future. "Making Sense of AI" is an invaluable resource for students in the social sciences and humanities, as well as for general readers interested in understanding the implications of this rapidly evolving technology.

\n Weight: 424g\n
Dimension: 144 x 224 x 24 (mm)\n
ISBN-13: 9781509548897\n \n