Vocational skill course · Psychology · Semester 5 · TY BA · 2 credits · 50 marks · 30 hours
Module 1: Foundations of Cognitive AI & Human Intelligence
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A
Introduction to AI for Psychologists: Defining Narrow vs. General AI and the evolution from the Turing Test to modern Generative AI.
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B
How Machine Learning (ML) Operates: Understanding Supervised, Unsupervised, Reinforcement Learning, Deep Learning.
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C
Large Language Models (LLMs) & Transformers: AI predicts "tokens" and use of "Attention" mechanisms to mimic human conversation.
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D
Modeling the Mind: Comparing Biological vs. Artificial Neural Networks; "Deep Learning" inspiration and the human brain.
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E
Human vs. Machine Intelligence: Study of perception, attention, and memory limits between biological and digital systems.
Module 2: AI in Psychological Practice & Ethics
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A
Digital Therapeutics & Chatbots: Use of AI-driven tools (e.g., Woebot, Wysa) as adjuncts to traditional therapy. Ethical Issues.
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B
AI in Diagnostics & Early Detection: Using predictive modeling and social media data for early intervention in mood and anxiety disorders. Issues.
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C
Automated Psychometrics: How AI analyzes the "Big Five" personality traits through text, speech, and emotion recognition technology. Issues.
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D
Algorithmic Bias & Diversity: How AI inherits human prejudices; the psychological impact of biased automated decisions; Ethical Issues.
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E
The Empathy & Privacy Gap: "Black Box" problem; inability of machines to replicate genuine human empathy.
Text Books
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1
Crowder, J. A., & Friess, S. (2013). Artificial psychology: The quest for what it means to be human. Springer Science & Business Media.
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2
Tormen, F. (2022). The psychology of artificial intelligence. Routledge.
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3
Daumé, H., III. (2017). A course in machine learning (v0.9). ciml.info
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4
American Psychological Association. (2024). Report of the APA presidential task force on artificial intelligence and psychology. apa.org Given the topics are based on recent advances, teachers and students are encouraged to refer to other online resources.
Reference Books
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1
Boden, M. A. (2018). Artificial intelligence: A very short introduction. Oxford University Press.
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2
Eysenck, M. W., & Keane, M. T. (2020). Cognitive psychology: A student's handbook(8th ed.). Psychology Press.
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3
Mitchell, M. (2019). Artificial intelligence: A guide for thinking humans. Pelican Books.
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4
Russell, S. J., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed.). Pearson
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5
D’Alfonso, S. (2020). AI in mental health. Current Opinion in Psychology, 36, 112–117. doi.org
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6
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): A randomized controlled trial. JMIR Mental Health, 4(2), e19. doi.org
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7
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.
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8
World Health Organization. (2021). Ethics and governance of artificial intelligence for health: WHO guidance. World Health Organization.