Can You Tell I’m Not Human? ChatGPT-4.5 and the Turing Test Turn
Jo Coghlan
The Turing Test, originally proposed by Alan Turing in 1950, is a method for determining a machine’s ability to exhibit intelligent behaviour indistinguishable from a human. In the age of artificial intelligence, one recent development ChatGPT-4.5. continues to blur the lines between human and machine. ChatGPT-4.5 epitomises how far technology has advanced, demonstrating not only linguistic fluency but also creativity and contextual understanding. Its interactions can be sophisticated, playful, empathetic, and intellectually engaging, sparking renewed debates about whether it has effectively passed Turing’s iconic test. Beyond being a technological curiosity, passing or approaching the Turing Test has significant sociological implications. The blurring of human-machine distinctions challenges how we define consciousness, creativity, and even what it means to be human. AI systems like ChatGPT-4.5 aren’t merely simulating conversation; they actively shape our social, cultural, and ethical landscapes.
This phenomenon invites substantial debate from posthumanist perspectives, which suggest that integrating artificial intelligence deeply into human life can fundamentally transform society for the better. Scholars such as Donna Haraway and Katherine Hayles argue that merging human and machine capacities can expand human potential, transcending biological limitations to enhance cognitive and physical capabilities. Posthumanists view AI as part of humanity’s evolution, providing opportunities for more profound, efficient, and diverse interactions, ultimately leading to greater societal inclusivity and equity. Conversely, from a humanist position, ethical considerations emerge sharply into focus. Humanist critiques, like those articulated by John Searle and Nick Bostrom, highlight critical ethical dilemmas concerning authenticity, accountability, and transparency in AI interactions. The potential for AI to perpetuate bias, manipulate human decision-making, and obscure accountability frameworks poses significant risks to democratic processes, individual autonomy, and societal trust. Moreover, ethical concerns extend to issues of privacy, surveillance, and human dignity. Luciano Floridi underscores the need to carefully regulate AI’s influence to preserve essential human values and prevent the erosion of personal freedoms and autonomy. Likewise, Gary Marcus and Ernest Davis stress the necessity of rigorous standards to ensure AI reliability and ethical application, advocating for systems that genuinely augment rather than diminish human agency and decision-making.
The integration of ChatGPT-4.5 and similar technologies into daily life also brings about transformative implications for labour markets, education, healthcare, and personal relationships. While automation and AI could significantly improve productivity, efficiency, and accessibility across sectors, such as personalised learning in education, precision medicine in healthcare, and streamlined operations in businesses, they also risk exacerbating socioeconomic inequalities. Low-skilled jobs, in particular, face displacement due to automation, potentially intensifying existing disparities between different socioeconomic groups. This technological shift necessitates proactive measures, such as reskilling programs and policies designed to protect vulnerable populations from negative economic consequences. While ChatGPT-4.5’s proximity to passing the Turing Test heralds a new era where the essence of intelligence itself is redefined. It invites society to reconsider our relationship with technology critically and thoughtfully, acknowledging AI not merely as an imitation of human intelligence but as an expanding dimension of it—one requiring careful and informed ethical oversight to balance the promise of technological progress with the safeguarding of fundamental human values.
Boden, Margaret A. AI: Its Nature and Future. Oxford: Oxford University Press, 2016.
Bostrom, Nick. Superintelligence: Paths, Dangers, Strategies. Oxford: Oxford University Press, 2014.
Floridi, Luciano. The Fourth Revolution: How the Infosphere Is Reshaping Human Reality. Oxford: Oxford University Press, 2014.
Haraway, Donna. Simians, Cyborgs, and Women: The Reinvention of Nature. New York: Routledge, 1991.
Hayles, N. Katherine. How We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics. Chicago: University of Chicago Press, 1999.
Marcus, Gary, and Ernest Davis. Rebooting AI: Building Artificial Intelligence We Can Trust. New York: Pantheon Books, 2019.
Searle, John R. “Minds, Brains, and Programs.” Behavioral and Brain Sciences 3, no. 3 (1980): 417–457.
Tegmark, Max. Life 3.0: Being Human in the Age of Artificial Intelligence. New York: Knopf, 2017.
Turing, Alan M. “Computing Machinery and Intelligence.” Mind 59, no. 236 (1950): 433–460.
Nath, Rajakishore, and Rakesh Chandra Manna. “From Posthumanism to Ethics of Artificial Intelligence." AI & Society 38 (2023): 185–196. https://doi.org/10.1007/s00146-021-01274-1.
Al-Omari, Omaia, and Tariq Al-Omari. "Artificial Intelligence and Posthumanism: A Philosophical Inquiry into Consciousness, Ethics, and Human Identity.” Journal of Posthumanism 5, no. 2 (April 2025). https://doi.org/10.63332/joph.v5i2.432.
Tasioulas, John. “Artificial Intelligence, Humanistic Ethics.” Daedalus 151, no. 2 (2022): 232–243. https://doi.org/10.1162/daed_a_01912.
