Marxist Perspectives on Artificial Intelligence
-- ViewingNowMarxist Perspectives on Artificial Intelligence examines the intersection of technology and capitalism. It critiques how AI perpetuates class inequalities and labor exploitation.
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By analyzing the impact of automation, this perspective questions the ownership of AI technologies. Key themes include the commodification of labor, the role of data in capitalism, and the potential for AI to reshape social relations. This overview is aimed at students, activists, and anyone interested in understanding the socio-economic implications of AI. Explore further to uncover the transformative potential of AI through a Marxist lens!
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• Historical Materialism and Technology
• The Labor Theory of Value in AI Development
• Capital Accumulation and Automation
• Class Struggle in the Digital Age
• Alienation in AI-Driven Work Environments
• Surveillance Capitalism and Control
• The Role of Ideology in AI Narratives
• Marxist Critique of Data Ownership
• Ethical Considerations in AI from a Marxist Lens
• Futures of Work: Marxist Perspectives on AI and Employment
• The Labor Theory of Value in AI Development
• Capital Accumulation and Automation
• Class Struggle in the Digital Age
• Alienation in AI-Driven Work Environments
• Surveillance Capitalism and Control
• The Role of Ideology in AI Narratives
• Marxist Critique of Data Ownership
• Ethical Considerations in AI from a Marxist Lens
• Futures of Work: Marxist Perspectives on AI and Employment
CareerPath
Career Roles in AI and Their Relevance
Software Developers: Key players in AI development, responsible for coding and deploying AI applications. They are in high demand due to the increasing reliance on technology across industries.
Data Analysts: Focus on interpreting complex data sets to inform AI solutions. Their skills in data manipulation are essential for training AI models effectively.
Machine Learning Engineers: Specialize in designing algorithms that enable machines to learn from data. Their expertise is crucial as AI continues to evolve.
AI Researchers: Pioneers in exploring new AI methodologies and technologies. Their work drives innovation, making them vital in the AI landscape.
Other Tech Roles: Include project managers and system architects who facilitate AI project development and integration across various sectors.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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GBP £140
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GBP £90
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MARXIST PERSPECTIVES ON ARTIFICIAL INTELLIGENCE
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London School of International Management (LSIM)
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05 May 2025
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