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Table of Contents

• ↓ Artificial Intelligence at Work
• ↓ Artificial Intelligence and the Economy
• ↓ Sociology of Artificial Intelligence
• ↓ Critical Race Studies and Racial Literacy
• ↓ Increasing Women’s Participation in Trades
• ↓ Event: Risks of visibility in a forced spotlight
• ↓ Top Alternatives to othersociologist.com

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"Despite dire predictions, researchers forecast that few industries will lose a substantial number of jobs due to artificial intelligence (AI). Instead, AI is more likely to alter the way humans work. The AI industry may also create new roles, but this may amplify inequality. In this third post in my Sociology of AI series, I explore the perceived impact of AI on jobs, and the stratification that may follow increased automation of the labour market. I analyse evolving policy directions, including a new report by Jobs and Skills Australia, on AI-related job losses. I then review sociological understandings of AI and work, and recent examples of job redundancies. I analyse a much-publicised study by Microsoft, which claims AI can replace 40 professions, including translators, historians, artists, and customer service workers. This case study shows that AI companies distort evidence to overstate the functions, utility, and accuracy of AI technology. I argue that AI discourse hinges on eliminating competition from human professionals. Sociology uncovers the ways in which scientific models and customer data are used to make unethical and spurious claims."

"In this second post in my Sociology of AI series, I show that AI companies position automation as being superior to human labour. I review the Australian Government’s recent announcement that is considering changing the law to allow AI to mine copyrighted works. I will show that the economic model used to justify this decision lacks robust testing. I analyse the ways in which AI discourse is ‘manufacturing consent’ to control the labour market. I argue that AI discourse establishes economic power by marketing technological supremacy, using science selectively, eliminating competition, and suppressing issues that undermine AI domination."

"This is the first in a series of posts exploring the sociology of artificial intelligence (AI). I cover definitions of AI, before exploring sociological issues of public awareness, ethics, and regulation. I discuss how AI models replicate race, class, and social inequality. I show why First Peoples’ leadership must be central to the development AI policies. I discuss how sociology can address structural change and ethical use of AI. The rest of this series will examine how AI may transform work, and how AI companies are using customer data to grow their market dominance and policy influence."

"I have published two new book chapters. In ‘Critical Race Studies and Intersectionality Responses to COVID-19,’ I provide practical guidance for educators and researchers on how to apply insights from the webseries, Race in Society. The series featured First Peoples scholars and practitioners, and other people of colour researchers discussing issues of race and the pandemic. In ‘Race at Work Within Social Policy,’ I analyse how anti-racism and intersectionality work is co-opted and suppressed in social policy. Read about both chapters below, including where to order the books and upcoming events."

Key Topics & Focus Areas for othersociologist.com:

Artificial Intelligence at Work

Artificial Intelligence and the Economy

Sociology of Artificial Intelligence

Critical Race Studies and Racial Literacy

Increasing Women’s Participation in Trades

Event: Risks of visibility in a forced spotlight