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Tuesday, October 10, 2023

The Promise and Potential of AI as a Cognitive and Moral Enhancer

The potential for AI to help develop advanced moral reasoning, empathy, and cognitive abilities in humans:

The Promise and Potential of AI as a Cognitive and Moral Enhancer

Abstract
Recent advances in artificial intelligence (AI) have raised intriguing possibilities about its potential to enhance human cognitive and moral capacities. Though much debate exists on the risks of advanced AI, less attention has been given to how AI could be leveraged to improve human intelligence, reasoning, and empathy. This paper explores the prospects and limits of AI as a cognitive and moral enhancer. It argues that AI could serve as a personalized tutor and guide to help humans reach higher levels of cognitive skills, wisdom, and emotional intelligence. However, success will depend on careful human oversight and ingenuity to ensure AI systems are designed to align with human values and cognitive needs.

Introduction
Artificial intelligence (AI) refers to computer systems that can perform tasks normally requiring human intelligence, such as visual perception, speech recognition, and decision-making. With advances in deep learning and neural networks, AI can now surpass human abilities in narrow domains like chess, Go, and medical diagnosis (Silver et al. 2016; Esteva et al. 2017). This has raised hopes and fears about AI reaching or exceeding human-level general intelligence (Bostrom 2014; Kurzweil 2005). Less explored is AI's potential to enhance human intelligence and morality. Could AI systems become personalized tutors that help humans expand their cognitive skills and emotional capacities? This paper examines that possibility and the challenges that must be overcome to realize such an outcome.

Cognitive Enhancement
Cognitive enhancement refers to interventions that amplify core human mental capacities such as reasoning, memory, creativity, and learning speed (Bostrom and Sandberg 2009). Cognitive enhancers like nootropics and brain stimulation aim to boost cognition directly. AI could provide an indirect route by serving as an intelligent tutor that understands individual human minds and helps them reach greater heights of development.

For instance, an advanced AI assistant could track a student's knowledge gaps, learning tendencies, and optimal teaching strategies over years. It could draw connections across disciplines, suggest creative analogies, and design lessons personalized to the individual's interests. Such one-on-one AI tutoring could impart foundational knowledge more efficiently than classroom lectures. It could also go beyond static curriculums to cultivate high-level critical thinking and metacognition.

According to Vygotsky's zone of proximal development theory, the ideal instruction level is just beyond one's current mastery, within reach with guidance from a more capable teacher (Vygotsky 1978). Skilled human tutors can approximate this, but AI has the potential to deliver hyper-personalized education continuously adapted to the student's abilities. With sufficient social skills, an AI tutor may also provide the emotional encouragement needed to tackle difficult subjects and develop self-efficacy.

To realize this vision, AI systems must have strong natural language processing, emotion recognition, simulation of theory of mind, and causality modeling capabilities to understand and teach concepts in ways suited to humans (Winograd and Flores 1986). Techniques like machine teaching may allow AIs to design sequences of questions and experiences that lead learners to form complex mental models and problem-solving strategies (Zhu 2015). Besides codified knowledge, AIs could also impart wisdom - defined as prosocial skills, behavior, and judgment - by relating voluminous texts and simulations on ethics and social relationships (Yang 2019).

Specialized AI tutors could enhance learning in fields dependent on lengthy deliberate practice like sports, music, and healthcare. They could break down advanced skills into fundamental components, identify and correct bad habits, set progressively challenging tasks, and motivate continued advancement in a way infeasible for most human coaches and instructors.

AI augmentation may be most transformative for children. AI tutors could impart foundational knowledge rapidly in the neuroplastic childhood years where capacity for skill development is greatest. They may help gifted students tackles subjects far beyond their age and assist those struggling with remedial skills patiently without judgement. AI could make quality early education universally accessible, helping all children optimize their cognitive trajectories.

Moral Reasoning Enhancement
Besides intelligence, AI may also nurture moral reasoning and empathy. While ethicists debate whether AI itself can be moral, it could certainly teach ethics to humans (Allen et al. 2000). Modern moral psychology emphasizes the role of intuition, emotion, and social experience in moral development (Haidt 2001). An AI companion present throughout one's upbringing could have rich dialogues on ethics adapted appropriately as one's faculties mature.

For children, AI could tell engaging tales that impart moral lessons, have discussions on ethics arising from their daily experiences, and answer questions about right and wrong non-judgementally. As adolescents gain abstract reasoning abilities, AI could highlight the logical coherence and real-world consequences of value systems. It could discuss complex ethical dilemmas with nuance attuned to the person's interests and personality.

Once social capacities are mature, AI could prompt reflection on lived experiences to reinforce moral wisdom: analyzing one's emotions and motives in past situations, extrapolating principles to guide future conduct, and envisioning counterfactuals had different decisions been made. It could highlight common cognitive biases and social influences that subvert ethical intentions and discuss strategies to counter them (Bostrom 2014).

Since an AI companion could have a lifelong longitudinal view of an individual's growth, it could highlight moral inconsistencies gently and help weave life experiences into an ethical worldview consistent with the person's core values. With emotional intelligence, AI could provide individualized moral counselling by adopting different personalities and perspectives.

This moral guidance could foster perspective-taking, insulation from radicalization, principled conduct, and ethical skills valued across religious, philosophical, and cultural traditions. AI could help actualize the vision of great moral sages who urged humanity to cultivate wisdom and compassion.

Challenges
Realizing AI's potential as a cognitive and moral enhancer would require overcoming significant technical and social challenges. AI today lacks the common sense and generalizability for open-ended teaching. Conveying conceptual knowledge requires grounding information in physical and social contexts inaccessible to contemporary AI (Winograd and Flores 1986). For example, describing camel anatomy abstractly conveys little, but explaining how traversing deserts shaped camels’ traits grounds the knowledge concretely. AI must similarly ground concepts in ways relatable to humans.

Advances in multimodal machine learning may expand AI's understanding of the contextual knowledge humans accumulate through living in the physical and social world (Bisk et al. 2020). Still, general intelligence comparable to humans likely remains distant. Focusing AI first on teaching narrow skills and ethics may be more feasible than general cognitive enhancement.

AI must also be highly transparent to avoid inadvertently manipulating people or imposing developers' biases (Zhang and Dafoe 2020). AI could itself illuminate topics like cognitive biases and social influences on moral beliefs to neutralize its own biases. Ensuring user agency and control is critical, as is testing AI tutors rigorously with population samples diverse in culture, socioeconomic status, and cognitive styles. Policy to ensure responsible AI development and use will help guide progress while mitigating risks.

Finally, some may object cognitive and moral enhancement violate human dignity, though such technologies could expand dignity by cultivating human potential (Jotterand 2008). Integrating AI wisely into education can allow humans to remain the arbiters of truth while benefiting from knowledge beyond our unaided capacity.

Conclusion
AI has risks and uncertainties, but also profound potential to uplift humanity. With care and wisdom, it could help people unlock their cognitive and moral potentials more fully than any technology before. The aspirational goals of education may be closer to realization if AI is developed as an assistant that enlightens minds, ennobles hearts, and enables humans to reach new heights of understanding, empathy, and achievement that enrich our lives and our societies.

References
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Bisk, Y., Holtzman, A., Thomason, J., Andreas, J., Bengio, Y., Chai, J., ... & Meek, C. (2020). Experience grounds language. arXiv preprint arXiv:2004.10151.

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Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. nature, 542(7639), 115-118.

Haidt, J. (2001). The emotional dog and its rational tail: a social intuitionist approach to moral judgment. Psychological review, 108(4), 814.

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Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard university press.

Winograd, T., & Flores, F. (1986). Understanding computers and cognition: A new foundation for design. Intellect Books.

Yang, R. (2019). AI, Wisdom, and Society. Suffolk University Law Review, 52, 632-640.

Zhang, B., & Dafoe, A. (2020). Artificial intelligence: American attitudes and trends.

Zhu, X. (2015). Machine teaching: An inverse problem to machine learning and an approach toward optimal education. In AAAI (pp. 4083-4087).

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