Human-to-AI Behavior, Part 2
Who does what...
In my previous post, Human-to-AI Behavior, I asked Perplexity Pro to define five terms associated with human behavior: sentience, integrity, empathy, accountability, and trust. The next step is to find out which of those characteristics AI can acquire on equal par with humans and which are out of reach. For this post I asked Perplexity Pro a follow-up question: “Are sentience, integrity, empathy, accountability, and trust innately human characteristics or skills and capacities that humans and AI can acquire?” Its response follows:
Sentience, integrity, empathy, accountability, and trust are not all equally accessible to both humans and artificial intelligence (AI); some are innately human, while others can be developed as skills or capacities in both humans and AI, though with important distinctions.
Sentience
Sentience-the ability to experience feelings and subjective sensations-is considered an innately human (and animal) characteristic. AI does not possess sentience; it cannot truly feel or have subjective experiences, even if it can simulate emotional responses based on data patterns [1] [6]. The current consensus is that sentience is deeply tied to consciousness, which AI lacks.
Integrity
Integrity, defined as adherence to moral and ethical principles, is rooted in human values and consciousness. While AI can be programmed to act in ways that appear consistent or reliable (and thus demonstrate a form of "integrity" in terms of rule-following), it does not possess an internal moral compass. Integrity in AI is a design and programming outcome, not an intrinsic quality [1] [2] [5].
Empathy
Empathy-the genuine ability to understand and share the feelings of others-is both an innate human trait and a skill that can be cultivated further through experience and learning [3]. Humans are born with basic social-cognitive tools that enable empathy, but these can be developed. AI, however, cannot truly experience empathy; it can only simulate empathetic responses based on data and algorithms, lacking the personal emotional experiences that underpin genuine empathy [1] [2] [4] [7].
Accountability
Accountability is a concept that applies to both humans and AI, but in different ways. Humans are innately capable of being accountable, as they can understand, reflect on, and take responsibility for their actions. In AI, accountability is imposed externally-developers and organizations are held accountable for the outcomes of AI systems, and mechanisms are put in place to ensure transparency, explainability, and auditability [5]. AI itself does not possess self-awareness or responsibility; it is the humans behind the AI who are accountable.
Trust
Trust is a relational quality that humans can experience, build, and rely on. While humans form trust based on perceived integrity, empathy, and reliability, AI can be designed to be trustworthy by being reliable, transparent, and consistent. However, AI cannot genuinely reciprocate trust or understand its emotional dimensions; it can only be engineered to meet criteria that foster trust from human users [2] [5] [1].
Summary Table
Conclusion
Sentience, integrity, and empathy are fundamentally human characteristics, with empathy also being a skill that can be further developed. Accountability and trust can be structured into AI systems, but only as externally imposed or engineered features, not as intrinsic capacities. AI can simulate or support these qualities, but does not possess them in the same way humans do [1] [2] [5] [7]. 1
Citations:
[1] Unit 4: Human Skills For the AI Future - Shorthand Stories
[2] Artificial Intelligence in nursing: trustworthy or reliable? - National Library of Medicine
[3] Is Empathy Innate? - Knology
[4] AI chatbots perpetuate biases when performing empathy, study finds - UC Santa Cruz
[5] AI Transparency & Accountability: Principles, Differences - Dial Zara
[6] Salesforce AI Agents: Sentience, Empathy, and the Future of Human-AI Collaboration - SF BEN
[7] Critical Thinking, Curiosity, and Emotional Intelligence in the Age of AI - LinkedIn
[8] Leadership Development in the Age of Artificial Intelligence (PDF) - Harvard Kennedy School
[10] Conscious Empathic AI in Service - Sage Journals
Potential Follow-Up Questions:
How can humans develop empathy in AI systems?
What are the limitations of AI in understanding human emotions?
Can AI ever truly possess integrity and accountability?
How does emotional intelligence differ between humans and AI?
What are the ethical challenges of teaching morality to AI?
Perplexity Pro. “Are sentience, integrity, empathy, accountability, and trust innately human characteristics or skills and capacities that humans and AI can acquire?” Edited by Steve Bosserman. May 18, 2025. https://www.perplexity.ai/search/what-is-sentience-integrity-em-yxYLpuHUQPWiQ2YLSNYOug.