Abstract:
Artificial intelligence (AI) has become one of the most influential aspects of contemporary life, significantly impacting various sectors, including human memory and identity construction. Jordan Harrison's play Marjorie Prime explores the integration of AI into human lives through the concept of "Primes"—AI representations of deceased loved ones that help in reconstructing memories and identities. This article examines how these Primes serve as sources of learning and identity construction while highlighting their limitations and susceptibility to manipulation. Drawing on Jean-François Lyotard's critique of the postmodern era, the study underscores the necessity of reevaluating human agency and knowledge preservation in an increasingly digitalized world.
Introduction: In Marjorie Prime, Jordan Harrison presents a futuristic scenario where AI is used to create Primes—advanced AI entities designed to emulate deceased individuals. These Primes interact with the living, helping them recall and relive memories. The play raises crucial questions about the reliability of AI in preserving human knowledge and identity. By examining these interactions, the study aims to shed light on the potential and pitfalls of using AI for such purposes.
AI and Memory Construction: The Primes in Marjorie Prime serve as digital repositories of memories, offering a unique method of coping with loss and preserving personal histories. However, the accuracy of these memories is contingent on the input provided by human counterparts. As memories are inherently subjective and prone to distortion, the Primes' ability to construct a true representation of an individual's identity is questionable.
The Influence of Jean-François Lyotard: Jean-François Lyotard's critique of the postmodern condition emphasizes the fragmented nature of knowledge and the impact of technological advancements on human thought. According to Lyotard, the postmodern era is characterized by skepticism towards grand narratives and an increased reliance on technology. Marjorie Prime embodies these themes by showcasing the fragmented and potentially unreliable nature of AI-generated identities.
AI's Limitations and Manipulation: Despite the advanced capabilities of the Primes, the study argues that AI cannot fully replace human cognition and judgment. The Primes' dependence on pre-existing data and their potential for manipulation underscore the need for human oversight in AI applications. This aspect is critical as it highlights the ethical considerations and the necessity of maintaining human agency in the face of technological advancements.
Reevaluation of Human Agency: The emergence of AI in Marjorie Prime prompts a reevaluation of human agency and the role of technology in shaping our identities. The play suggests that while AI can significantly aid in memory preservation, it is not infallible and requires careful scrutiny. This reevaluation is essential for understanding the implications of integrating AI into intimate aspects of human life.
Conclusion: Jordan Harrison's Marjorie Prime provides a thought-provoking exploration of the role of AI in constructing human memory and identity. By examining the interplay between AI and human cognition, the study highlights both the potential and the limitations of using AI for such purposes. The findings emphasize the importance of maintaining human oversight and agency in the face of rapidly advancing technologies, ensuring that AI remains a tool for enhancement rather than a replacement for human thought.
References:
- Bendrat, A. (2023). “How Do You Know Who You Are?”: Marjorie Prime on Envisioning Humanity Through the Faculty of AI-Powered Memory as Reconstructive Tissue. Text Matters: A Journal of Literature, Theory and Culture, (13), 210-228.
- Foucault, M. (2005). The Order of Things. Routledge.
- Harrison, J. (2016). Marjorie Prime (TCG Edition). Theatre Communications Group.
- Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25.
- Lindsay, C. (1991). Lyotard and the Postmodern Body. L’esprit créateur, 31(1), 33-47.
- Lyotard, J. F. (1984). The Postmodern Condition: A Report on Knowledge. University of Minnesota Press.
- Lyotard, J.F. (1988-1989). Can Thought Go On Without A Body? Discourse, 11(1), 42-54.
- Bartneck, C., Lütge, C., Wagner, A., & Welsh, S. (2021). An Introduction to Ethics in Robotics and AI. Springer Nature.
- Miranda, L. D. (2020). Artificial intelligence and philosophical creativity: From analytics to crealectics. Human Affairs, 30(4), 597-607.
- Peters, M. V. (2021). Talking to Machines: Simulated Dialogue and the Problem with Turing in Jordan Harrison’s Marjorie Prime. Journal of Contemporary Drama in English, 9(1), 81-94.
- Schwartz, R. D. (1989). Artificial intelligence as a sociological phenomenon. Canadian Journal of Sociology/Cahiers canadiens de sociologie, 179-202.
- Shaw-Garlock, G. (2011). Loving machines: Theorizing human and sociable-technology interaction. In Human-Robot Personal Relationships: Third International Conference, HRPR 2010, Leiden, The Netherlands, June 23-24, 2010, Revised Selected Papers 3 (pp. 1-10). Springer Berlin Heidelberg.
- Wagner, R. (2016). The Invention of Culture. The University of Chicago Press.
- Wosk, J. (2024). Artificial Women: Sex Dolls, Robot Caregivers, and More Facsimile Females. Indiana University Press.