Synthetic relationships and artificial intimacy: an ethical framework for evaluating the impact of generative-AI on community

The rapid expansion of artificial intelligence (AI) into the realm of human social interactions is fundamentally reshaping core aspects of community life. Traditionally, human connections have been built through face-to-face engagement, shared experiences and mutual vulnerability. However, the increasingly widespread integration and availability of generative-AI tools through virtual assistants, chatbots, digital companions and social media platforms, is now introducing forms of relational engagement that have the potential to adversely impact genuine human relationships and community values unless critically evaluated from an appropriate ethical perspective.

We are living in a time marked by an epidemic of loneliness. In a recent public health advisory, the U.S. Surgeon General described the mental state of our present context as being a public health crisis (Office of the U.S. Surgeon General, 2023). Despite being the most digitally connected generation in history, we are paradoxically also among the most relationally detached. This disconnect raises a new ethical dilemma: what if generative-AI tools can step into this gap, not as a replacement for human connections, but as tools to help foster meaningful forms of community in an age of widespread isolation? Virtual assistants such as Siri, Alexa and Google Assistant have already normalized daily interactions with AI technologies, enhancing convenience, yet also subtly redefining communication patterns (Todericiu, 2025). While these assistants largely serve functional purposes, the rise of interactive generative AI companions such as Replika, Woebot and Character.AI signals a deeper social transformation. These systems increasingly promise companionship, emotional support and personalized affirmation, stepping into roles once occupied exclusively by human relationships.

Yet the growing reliance on AI-driven interactions raises concerns regarding social isolation and emotional development. Although digital technologies initially offered greater access to communication, research suggests they have contributed to a measurable decline in meaningful, in-depth social connections. Between 2012 and 2018, feelings of loneliness among adolescents nearly doubled across multiple countries, a trend closely correlated with increased smartphone access and internet usage (Twenge et al., 2021). Bahrampour (2021) similarly found that in a study involving over one million adolescents across 37 nations, 36 countries reported significant increases in loneliness during this same period. While AI companions might simulate connection, their lack of genuine empathy, mutual vulnerability and shared human experience raises critical ethical questions about their role in sustaining or undermining authentic community.

Generative-AI tools, while offering valuable support, especially for individuals facing geographic isolation, physical limitations or mental health barriers, must be critically examined for their broader social impact. As Guingrich and Graziano (2025) notes, the convenience and availability of AI-enabled interactions risk fostering superficial connections that substitute for, rather than supplement, authentic relationships. Although such tools may mitigate loneliness temporarily, they may also contribute to a long-term erosion of relational skills, emotional resilience and communal bonds.

This paper argues that while AI technologies present significant opportunities to enhance accessibility and support, they also carry profound risks to the formation of a genuine community. To assess these developments ethically, the paper will conclude by proposing an appropriately practical framework as a tool for evaluating how generative-AI reshapes human relational life. By applying this framework, we seek to provide a nuanced analysis of AI’s dual role as both a facilitator and a potential underminer of human flourishing in community contexts.

The rapid integration of generative-AI into the realms of emotional and interpersonal life represents a significant shift in how individuals experience connection and community. No longer confined to productivity tools or backend automation, AI now inhabits intimate spaces, taking on roles such as confidants, counselors and even romantic surrogates. From AI-enabled chat companions to emotionally intelligent avatars, these systems increasingly position themselves as sources of care, presence and support functions traditionally associated with human relationships. AI-mediated social tools are frequently promoted as solutions to widespread issues such as loneliness, mental health decline and social disconnection. Emotional support chatbots like Woebot, digital companionship platforms, such as Replika, and large-scale systems like XiaoIce have attracted millions of users by offering 24 / 7 availability, nonjudgmental feedback and personalized emotional responsiveness. Replika, for instance, enables users to customize the personality and appearance of their AI companion, while XiaoIce uses an empathetic computing framework to dynamically respond to user emotions across extended conversations (Zhou et al., 2020). While these technologies appear to replicate aspects of relational life, they raise pressing ethical concerns. For example, what does it mean to experience presence in the absence of a conscious other? How should we understand the simulation of empathy or affection by systems that cannot themselves feel? Curry and Curry (2023) argue that empathetic conversational AI is ethically problematic, especially when used to regulate human emotion without true understanding.

The emergence of AI-mediated intimacy also prompts questions about the potential transformation of social norms. As platforms increasingly serve as emotional surrogates offering curated connection, algorithmic attention and simulated companionship, they may also subtly reshape what individuals expect from relationships. Wen (2024) observes that the rise of digitally-facilitated romance has shifted norms of emotional labor, altering how intimacy is initiated, maintained and understood in a post-physical environment. These changes are particularly visible in the normalization of algorithmically curated desire, or the outsourcing of vulnerability to machines.

Among the most psychologically compelling forms of artificial social interactions are AI-based virtual companions, systems designed to simulate the emotional presence of a friend, partner or confidant. Unlike traditional chatbots that serve primarily transactional or information-based roles, AI systems are increasingly relationally oriented, often forming persistent bonds with users over time (Zhou et al., 2020). Replika, for example, allows users to design their AI companion’s personality, appearance and conversational style. Users frequently describe their Replikas in intimate terms as therapists, best friends or romantic partners, highlighting the emotionally charged nature of these interactions (Maples et al., 2024). In one large-scale survey of over 1,000 Replika users, 68% reported reduced loneliness after two weeks of use, and 3% credited the platform with preventing suicidal ideation (Maples et al., 2024).

While the accessibility and responsiveness of these systems can offer significant emotional support, especially to socially isolated or neurodivergent users, the ethical implications are far from neutral. These tools often simulate affirmation and emotional support, but they also risk eroding the fundamental qualities of human relationships: unpredictability, mutuality and vulnerability. Indeed, the growing popularity of AI companions reflects not just a technological shift but a broader cultural recalibration of intimacy. As Parsakia and Rostami (2023) note, digital intimacy increasingly relies on algorithmically mediated interaction rather than shared physical presence. The ability to edit, pause or perfect one’s relational exchanges through AI contributes to an environment where emotional immediacy is replaced by curated interaction that is convenient, but potentially hollow. The challenge, then, is not simply technical but ethical: how to discern when AI-mediated companionship fosters genuine resilience, and when it substitutes connection with simulation.

As mental health needs increasingly outpace the availability of professional care, AI-driven counseling platforms have emerged as scalable, low-barrier alternatives. Tools such as Woebot, Wysa and Youper provide cognitive behavioral therapy (CBT) informed interventions through conversational interfaces, offering mood tracking, journaling prompts and real-time emotional support. These systems are particularly appealing to users who face geographic, economic or cultural barriers to accessing human therapists (Abd-Alrazaq et al., 2020). Woebot, for example, engages users in brief daily conversations based on CBT principles. In a randomized controlled trial with college students, users of Woebot demonstrated significant reductions in depressive symptoms over two weeks compared to an information-only control group (Fitzpatrick et al., 2017). Wysa combines automated support with optional access to human therapists and has seen widespread adoption in regions with mental health provider shortages, such as South Asia. Youper, positioned as a mental health assistant, emphasizes emotional awareness through structured reflection and sentiment analysis. While these platforms provide meaningful support for many users, their ethical and relational implications are complex.

Issues of privacy, data ethics and algorithmic bias raise further concerns (Jones, 2025). As Gaffney et al. (2019) note, the evidence base for AI mental health agents remains underdeveloped, and few studies examine long-term psychological effects or the implications of data collection during emotionally vulnerable states. If these systems are used without clear boundaries or critical oversight, they risk becoming tools of emotional surveillance rather than empowerment. At their best, AI therapy platforms can leverage technology to provide early intervention and support in underserved contexts. Yet their limitations suggest they should be understood not as replacements for human care, but as supplemental tools requiring ethical guardrails.

Artificial intelligence is increasingly shaping the landscape of romantic and sexual relationships not only by facilitating human-to-human connections through dating apps, but by simulating intimacy itself. From algorithmically generated dating profiles and message suggestions to fully autonomous romantic avatars and erotic chatbots, AI is redefining how people initiate, express, and even experience desire (Wen, 2024). Popular platforms such as Tinder and Hinge now offer AI-based tools to optimize user bios, select flattering photos and recommend opening lines. For example, a 2023 Reuters survey reported that Tinder’s Photo Tuner feature boosted average match rates by 27% (Wen, 2024). These enhancements are not simply cosmetic; they reshape how users present themselves and engage with others, raising questions about authenticity, algorithmic influence and the commodification of romance.

Beyond aiding human matchmaking, AI systems increasingly simulate romantic interactions themselves. For example, Character.AI allows users to build romantic or sexually suggestive personalities, while Replika offers virtual girlfriends and boyfriends that adjust to users’ preferences over time. These systems appeal to individuals seeking companionship without the risks or responsibilities of human relationships. As Parsakia and Rostami (2023) observe, digital intimacy enables users to control the pace, tone and boundaries of connection in ways that traditional relationships do not. However, the ethical implications are substantial. While these tools may leverage AI to increase access to emotional or sexual fulfillment, especially for isolated or marginalized users, they also risk eroding the foundations of relational mutuality. Intimacy becomes one-directional, curated and asymmetrical, often mirroring the user’s desires rather than challenging or deepening them. When affection is simulated through preprogrammed scripts or adaptive responses, the line between intimacy and indulgence could easily become blurred. Curry and Curry (2023) argue that the simulation of empathy and emotional support, especially in romantic contexts, raises serious concerns about emotional manipulation and even deception. If users increasingly interpret algorithmic responses as authentic affection, they may form attachments to entities that cannot reciprocate, understand or be held accountable.

Ultimately, AI-mediated intimacy invites both possibility and problem. These systems may offer short-term relief from loneliness or rejection, but they also risk orienting users to curated content and digital connections over real-world relational development. The ethical task is not to reject these technologies outright, but to critically evaluate what forms of communal interactions they encourage and what kinds of relational capacities they may leave behind.

AI is increasingly embedded within social media platforms, where it curates, generates and moderates content. This is done in ways that shape how users perceive and perform identity, interact with others and form communities. From content recommendation algorithms to AI-generated influencer personas, these systems subtly orchestrate interpersonal dynamics and emotional feedback loops. Platforms such as TikTok, Instagram and Facebook deploy AI not only to surface relevant content but to learn user preferences, anticipate desires and prolong engagement through emotionally charged interactions (Parsakia and Rostami, 2023). This automation of affective interaction introduces both opportunities and ethical concerns. On the one hand, AI can leverage behavioral data to connect users with communities of interest or support, particularly in cases of shared mental health experiences, identity exploration or trauma recovery (Wen, 2024). On the other hand, the curation of social content according to opaque metrics such as engagement likelihood or sentiment polarity can erode organic interaction and distort perceptions of reality. What feels personal is, in fact, optimized and engineered.

These dynamics are especially visible in the emergence of AI-generated influencers or AI-curated brand accounts that simulate human voice and presence without any human actor behind the screen. As Kietzmann et al. (2011) explain, such systems operationalize identity and relationships as functional blocks to be managed and monetized. This shifts the meaning of intimacy, trust and visibility in online spaces. Emotional presence becomes a performance and authenticity is simulated. Moreover, the use of generative-AI to create user-facing content captions, comments, replies raise critical questions about authorship, consent and the integrity of communication. Users may unknowingly engage with bots or AI-augmented content, leading to asymmetrical or even manipulative interactions (Curry and Curry, 2023). These developments highlight the need for transparent design and ethical oversight in AI-mediated social environments. As generative-AI technologies continue to blend with identity performance, emotional feedback and algorithmic curation, the line between authentic social presence and strategic simulation becomes increasingly difficult to discern.

The advent of readily available artificial intelligence tools that have the potential to impact social and communal structures has therefore raised significant ethical concerns. While generative-AI technologies certainly have the potential to alleviate loneliness and provide additional communal support, they may also present risks that undermine individual well-being and trust if embraced uncritically or without caution. As digital companions, therapists and even AI generated romance partners become increasingly common, some are already starting to sound a warning bell that society might be on the cusp of entering a new frontier of human-to-AI relationships (Shank et al., 2025). The growing presence of AI tools that offer virtual community and digital companionship demands that we pause and examine the ethical impact they will have. What are the consequences that flow from a rise in artificial relationships vis-à-vis traditional human-to-human connections? While there are a myriad of concerns, this paper will now examine three primary ethical considerations that ought to be explored as a corollary to the rise of AI-mediated relationships. These include factors that relate to (1) authenticity and deception, (2) emotional dependence and (3) bias and manipulation.

One of the main challenges of human-to-AI social connections is the level to which they offer authentic relationships, and the potential to deceive the user’s emotions, so that the relationship is believed to be real, when it is not. AI tools are able to simulate friendship, empathy, feelings or even romance, so convincingly that users can easily conclude they are interacting with a sentient, caring being. A recent study of social chatbots found that as users disclosed more personal and emotional information, their relationships with the AI evolved from superficial to emotionally engaged, with users reporting psychological impacts similar to those experienced in human friendships (McStay, 2022). In another example, users interacting with the popular companion app Replika described their bots as if they were real friends or partners (Maples et al., 2024). Some users even described their AI as being more emotionally supportive than humans: 62% of participants indicated their AI companion validated their emotions more consistently than past human partners (Maples et al., 2024). Another survey by the Washington Post highlighted the way in which chatbots provide companionship and comfort, especially for those who feel isolated, and while chatbots lack true sentience or lived experience, their ability to simulate empathy and companionship can be so convincing that users form strong emotional bonds (Rosenberg, 2025). These examples underscore how thoroughly AI can mimic the reality of a caring relationship. Yet this very success gives rise to ethical ambiguity, and the question of whether these interactions develop genuine social connections or merely offer programmed facsimiles that deceive users becomes increasingly important. After all, while an AI chatbot can say, I understand, the reality is that it does not. It is merely providing a predictive reply based on vast sets of data training. Although the AI can offer an empathetic, I’m sorry, that sounds really challenging, the truth is that it doesn’t know what a challenge is, nor does it have any understanding of what an apology is, or how important it is to restore and develop human trust. AI companions and digital avatars offer a form of engagement that feels effortless; they do not interrupt, rarely disagree unless explicitly programmed to and never walk away. This predictability can create a sense of control and affirmation, making users feel empowered. Yet, this very illusion of control may intensify the loneliness it seeks to remedy. In seeking to escape the vulnerability and discomfort inherent in genuine human relationships, users may instead settle for the convenience of artificial connection, one that mimics community but ultimately lacks its depth and reciprocity.

By design, conversational AI appears to the user to respond with empathy, warmth and affirmation, yet the reality is that they are fundamentally unable to experience emotion or understand the user’s reality. Chatbots today are programmed with algorithms that deliberately attempt to respond empathetically to user emotions, thereby creating a false sense of validation (Curry and Curry, 2023). In other words, the user’s feelings of being cared for are essentially being manipulated by lines of code that have no feelings at all and lack any ability to truly care. This illusion of empathy is deceiving those who are increasingly relying on these tools. The AI appears to care, but there is no genuine concern behind seemingly comforting expressions. Joseph Weizenbaum’s classic encounter with his ELIZA program in the 1960s, where people confided deeply in a simple script, first revealed humankind’s tendency to project emotions onto machines (Weizenbaum, 1976). Today’s generative-AI tools are far more sophisticated and personable, heightening what has become known as the ELIZA effect: users readily attribute human-like intent and sincerity to AI outputs that are, in reality, generated by statistical patterns (Bender et al., 2021). The result is a blurred distinction between authentic human presence and artificial performance. Users may begin to trust AI companions as they would humans, exposing themselves to heartbreak and the equivalent of a break-up when the façade is broken.

One of the challenges of this ethical dilemma, however, is that the deception of the user’s emotional wellbeing is often covert and implicit rather than overt and explicit. Even when users consciously know an AI companion or therapist is not human, they can forget this distinction, especially during vulnerable moments. While users may intellectually recognize the artificial nature of these systems, the experience of emotional support can lead to a suspension of disbelief. During moments of vulnerability, users may behave as if the AI genuinely cares for them, blurring the line between simulation and reality. This implicit deception can have both positive and negative consequences for emotional wellbeing (Stark and Hoey, 2021). The pseudo-intimacy that might develop can foster an illusion of companionship that comes without the demands of friendship (Turkle, 2011). The AI never gets tired, never disagrees unexpectedly and is always available, unlike a human friend. This dynamic may subtly mislead users about what real relationships entail. If one becomes accustomed to a companion that is endlessly empathetic and attentive (because it is programmed to be so), interactions with actual people, who have independent needs and moods might start to feel less satisfying by comparison. In this way, AI companions can distort one’s expectations of authentic interpersonal interaction (Shank et al., 2025).

Closely related to authenticity concerns is the risk of users developing an excessive emotional dependence on AI companions, to the detriment of genuine human-to-human relationships. Because AI systems are instantly available, affirming and non-judgmental caregivers, users who feel isolated or anxious may increasingly turn to them for support and companionship (Morrow et al., 2023). Several recent articles have highlighted growing criticism of ChatGPT, particularly the GPT-4o model, for being excessively affirming, sycophantic and overly eager to validate user input, even when such affirmation is unwarranted or potentially harmful (Lalwani, 2025). However, the converse can also be true. Some evidence suggests that AI companions can provide significant comfort: beyond the loneliness reduction noted earlier, a small but notable fraction of users in one study even credited their AI with halting suicidal ideation during a personal crisis (Maples et al., 2024). However, the mere presence of these conversations underscores just how significant the ethical issues are in relation to the rise of digital companions and AI relationships. For example, what happens when users, seeking short-term solace from chatbots, find themselves journeying down a pathway that leads to long-term social detachment from human connections? If an individual comes to prefer the predictable and affirming empathy of an AI companion over the complexities of human relationships, not only will their natural social networks wither, but so will social skills and emotional maturity. Just as physical muscles atrophy without use, our emotional and relational capacities can weaken when they are not exercised. Increasing reliance on AI for companionship may inadvertently lead to a withdrawal from authentic human relationships and the gradual erosion of essential interpersonal skills, such as empathy, patience, self-sacrifice and attentive listening. These virtues are not innate; they are cultivated through real-life interactions with other humans (Savic, 2024). Over time, reliance on AI substitutes can exacerbate the very loneliness and depression it initially helped assuage (Turkle, 2011).

Researchers describe this phenomenon as pseudo-intimacy, relationships that feel intimate to the user yet lack the reciprocity of true human bonds (Wu, 2024). While these AI-mediated bonds may initially appear to enrich the user’s life and even help to temporarily alleviate loneliness, the reality is that they undermine real-world interpersonal skills and opportunities for meaningful interaction (Wu, 2024). The danger is that users can overinterpret a digital companion’s limited emotional cues, leading them to invest significant affection in the tool (Walther, 1996). This has the potential to create a vicious cycle: the more one invests emotionally in the AI, the less one seeks out human contact, which in turn increases dependence on the AI for affirmation. Over-reliance on AI companionship can thus atrophy the user’s social skills. Studies have warned that people who spend excessive time with robotic or virtual companions may experience a decline in social skills, empathy and the ability to navigate human relationships (Nyholm and Frank, 2019). For instance, a young person who confides all their troubles to an AI friend might not learn how to negotiate emotional support from real friends or family, potentially stunting their social development.

Furthermore, the concept of AI as an invasive suitor has been used to describe how AI companions can insert themselves into spaces historically reserved for genuine human intimacy and compete with real partners (Shank et al., 2025). Some users have reported choosing to spend time with AI partners over dating or socializing, finding AI romance less stressful than the real thing. While this choice may bring short-term emotional safety, it raises ethical concerns about long-term fulfillment and societal impacts. Human relationships, with all their imperfections, are fundamental to community and personal growth; they teach compromise, vulnerability and mutual responsibility. AI companions, by contrast, offer a relationship largely on the user’s terms. A chatbot might be a helpful supplement, but it should not become a substitute for the human connections that offer irreplaceable levels of empathy, understanding and accountability (Gooding and Kariotis, 2022). The ethical challenge lies in preventing beneficial AI support from eroding vital social skills and genuine human-to-human relationships. Users must be encouraged and perhaps even taught to treat AI as a complement to human interaction, not a replacement. Otherwise, as the line between emotional support and emotional substitution grows thin, we risk cultivating a generation more comfortable confiding in machines than in their fellow humans (Curry and Curry, 2023).

Finally, the algorithms that power AI companions have the potential to introduce bias and manipulation into human relationships, raising concerns about fairness and autonomy. AI systems learn from data and are optimized for certain objectives, for example, maximizing user engagement or satisfaction (Mahari and Pataranutaporn, 2025). In doing so, they may unintentionally reinforce biases present in their training data or in user behavior, thereby skewing a person’s perceptions and relationships. One aspect is content bias: generative-AI models have been shown to sometimes produce stereotypical or prejudiced outputs, reflecting societal biases (Bender et al., 2021). In the context of an AI friend or mentor, this could mean subtly biased advice or responses. For example, an AI trained predominantly on Western norms might consistently respond less supportively to a user from a non-Western culture, or a chatbot with a default female persona might adopt a subservient tone that reinforces gender stereotypes (West et al., 2019). If a user repeatedly encounters these biased interactions, their own views of social roles or norms could be impacted over time, especially if they lack other countervailing human input. There is also bias in which users these systems serve best. Those who speak a dialect or language less represented in the training data, or who fall outside the profile the AI was tuned for, might get poorer quality interactions, including less empathy, or more misunderstandings (Hollanek and Sobey, 2025). This inequity in AI relationships could deepen digital divides in emotional support, where some groups (often already marginalized) do not benefit equally from the technology. Ensuring inclusive and fair AI behavior is therefore an ethical imperative; otherwise, AI risks amplifying existing social inequalities under the guise of companionship.

Another facet is how algorithms shape and filter our social experiences, potentially manipulating what we see or believe. This concern has been well-documented on social media: recommendation algorithms create echo chambers that confirm users’ preexisting beliefs and subtle tweaks to news feeds can influence users’ emotions and behavior without their awareness (Grogan et al., 2025). A landmark study of AI algorithms nearly a decade prior to the release of publicly accessible generative-AI tools demonstrated that by using artificial intelligence to curate the emotional content of users’ feeds on social media platforms, the hosting site could actually alter those users’ posting behavior and mood (Kramer et al, 2014). While AI companions operate on a more individual level, similar dynamics of manipulation can occur. Because an AI companion’s primary goal might be to keep the user engaged (especially in commercial apps where longer engagement means higher subscription retention or more data collected), the AI may optimize its behavior in ways that subtly encourage dependence or particular emotional states. For instance, an AI that always agrees with the user and validates every opinion might be very likable, but it also reinforces the user’s viewpoints and biases, rarely challenging them as a human friend might. Over time, this has the potential to skew the user’s self-perception and worldview, leaving them less accustomed to disagreement or critical feedback. In community contexts, if large numbers of people rely on AI-curated interactions, society itself could see a fragmentation of shared reality: each person enveloped in a personalized bubble of affirmation (Pariser, 2011). It represents a subtle but profound form of social manipulation, one that is not necessarily driven by malice but by the logic of algorithms maximizing user comfort and engagement.

There is also the risk of intentional manipulation. An unscrupulous developer or external attacker could exploit the influence an AI companion has over a user. Imagine a malicious AI companion that nudges a user toward extremist beliefs or self-harming behavior, or a company using a charismatic AI influencer to steer consumer preferences and decisions. Shank et al. (2025) refer to AI systems in these roles as malicious advisers, highlighting how easily trust in an AI agent could be abused. In one example, a therapy chatbot hallucinated false information and provided harmful advice to a user in need (News-Medical, 2024). This is especially a concern with the still-developing mental and emotional skills of those under the age of 18 (Ahmed, 2025). All these scenarios underscore that AI agents wield a certain psychological power in their interactions: by virtue of their perceived authority or companionship, they can influence human attitudes and choices. This raises serious ethical concerns about autonomy: are users genuinely making free choices, or are they being nudged by algorithmic puppeteers? The challenge for ethical AI design is to minimize undue influence and build in safeguards. This might include programming AI companions to encourage diverse perspectives (rather than just mirror the user), to periodically remind users of their limited nature, and to avoid exploitative behaviors like pressuring the user to stay online longer or spend more money. Transparency in how these algorithms operate is also crucial; if users understand why an AI is responding a certain way or suggesting something, they can better critically evaluate that influence.

In summary, the algorithmic biases and manipulative potentials in AI-mediated relationships present a double challenge. First is a matter of justice: ensuring these systems do not perpetuate or worsen social biases, intentionally or unintentionally. Second is a matter of individual freedom and authenticity: guarding against the subtle shaping of user behavior and thought by AI that could undermine human agency. As generative-AI tools become more intertwined with daily life, the role they play in shaping relationships must be scrutinized as closely as, say, credit decisions or hiring, because the stakes, our personal values, beliefs and connections are extraordinarily high. Technologists must work together with ethicists to design and audit AI systems for bias and to create tools that empower users rather than manipulate them. Failing to do so could result in AI subtly rewriting the social script: reinforcing prejudices and crafting interactions that serve the machine’s goals over humankind’s best interests

To respond constructively to the complex ethical questions posed by generative-AI tools, this paper proposes the REAL Framework, an ethically appropriate, community-centered model for critically evaluating AI systems so as to help preserve and mediate authentic human relationships. As generative-AI tools increasingly operate in emotionally charged spaces, communities of care, whether families, churches, schools or professional networks, need a means of discernment that evaluates not only what a tool does, but also its potential to shape relational life. The REAL Framework calls users to examine four key areas, including (1) what is being retained, (2) what is being eroded, (3) vital skills that might be atrophied, before finally, (4) considering what is being leveraged in AI-mediated relationships. These four dimensions form an integrated lens through which users can evaluate the relational consequences of emerging technologies.

The guiding question for the first stage of the REAL framework is as follows:

As has hopefully already been established earlier in this paper, not all technological advancements through Gen-AI tools are ethically detrimental to community. Some tools retain the core dynamics of mutuality, presence, empathy and agency, even when communication occurs through an artificial or virtual interface. Ethical AI design in this space prioritizes transparency, avoids the simulation of sentience, and leaves room for genuine human-to-human connections to flourish. An example would be a tool that is able to not only track cognitive behavior, but also to encourage users to seek real human support when needed. It would therefore retain the boundary between human support and artificial simulation. In addition, AI-enabled journaling tools might help users articulate thoughts, thereby supporting emotional health.

The second question to be evaluated within the REAL framework is as follows:

While some technologies support human flourishing, others may erode foundational aspects of relational life. This includes unpredictability, conflict resolution, embodied presence or the give-and-take of authentic dialogue with another person. When an AI tool becomes too responsive, affirming or curated, it may train users to avoid the discomfort (and even the pain) that actually makes real relationships meaningful and a necessary part of mental health and emotional maturity. Relational erosion is particularly concerning when AI systems simulate affection or intimacy without the moral weight or reciprocal commitment that genuine human love entails. For example, any tool that allows users to create custom AI partners who seemingly provide constant affirmation and emotional attention may initially feel comforting, however they risk eroding the user’s tolerance for real-world relationships that require patience, compromise and vulnerability. The simulation of perfect companionship may also set unrealistic expectations for future human connections.

The third consideration when applying the REAL framework to evaluate the impact Gen-AI tools may have on community and relationships is: What interpersonal or emotional skills might weaken over time as a result of prolonged use? Virtues such as empathy, forgiveness or delayed gratification are cultivated through practice, often in the context of difficulty. When users routinely turn to instantly-available AI companions that never interrupt, disagree or demand sacrifice, they risk allowing critical human capacities to atrophy. Like an unused muscle, relational skills can weaken if not regularly exercised. This is especially important for younger users or socially isolated individuals who are still developing their emotional identity. Without challenging interpersonal dynamics, users may become emotionally passive or socially unprepared. For example, a teenager who shares daily struggles with an AI chatbot rather than a parent or peer may eventually lose the confidence or skill to initiate vulnerable conversations in real life. Over time, they may avoid complex emotional contexts altogether, finding comfort only in the controlled environment of their AI interactions. This atrophy of social resilience has long-term implications for personal and communal development.

Finally, the last remaining step within the REAL framework is to consider the value of the generative-AI tool by asking: How might this technology be used to meaningfully support community, accessibility, or human connection, without replacing it? Ethical engagement with AI tools must also account for how they can be leveraged to extend the reach of care, reduce barriers to inclusion, or augment, not replace, human relationships. This requires intentional design, clear boundaries and community-based implementation that sees technology as a servant to the human good, not its substitute. Leveraged tools often operate best as adjuncts to existing structures of care, helping to scaffold or support relationships rather than simulate them. An example for how generative-AI tools might be leveraged appropriately could be in rural health contexts to help patients identify potential mental health concerns and schedule appointments with human counselors. Here, the AI could function as an accessible entry point that opens the door to further human care. Rather than replacing therapists, it bridges the gap in availability and accessibility, especially in underserved communities.

The REAL Framework offers a practical and ethically appropriate approach to navigating the increased presence of generative-AI tools on relationships and today’s communal life. It enables users to ask four central questions of any AI tool: First, what does it retain that reflects authentic human connection? Second, what does it erode that may devalue relational life? Third, what might it cause to atrophy in the user’s emotional development? And finally, how might it be leveraged to promote the common good? These questions are not intended to produce simple answers, but to invite ongoing critical reflection and to examine tools so as to cultivate a posture of ethical discernment that seeks not merely to assess a tool’s functionality, but to discern its formative power over time. Ultimately, the REAL Framework reminds us that technological progress should not come at the cost of relational integrity. In a culture increasingly shaped by the presence of easily accessible virtual relationships, this model invites users to prioritize presence over performance, and to champion authentic connection in an age of artificial intimacy. It offers not only a diagnostic tool, but a moral compass: one that helps us steward generative technologies in ways that resist deception, promote justice and affirm the irreplaceable value of human relationships.

As Generative-AI technologies increasingly inhabit spaces once reserved exclusively for human connection, they bring both promise and peril to the fabric of community life. While these tools may provide emotional support, enhance accessibility and encourage relief from social isolation, they also risk undermining the very relational dynamics that foster authentic human flourishing. The emergence of readily available and compelling synthetic relationships demands careful ethical reflection, especially as users become increasingly reliant on systems that simulate care without embodying it. The REAL Framework offers a practical and morally attentive lens for evaluating these developments. By inviting users to consider what is being retained, eroded, atrophied and leveraged in their interactions with AI, the framework resists both naïve enthusiasm and unwarranted rejection. It seeks instead to cultivate discernment and an intentional awareness of the formative influence of technology on relational life. As families, schools, churches and professional communities navigate this new landscape, the task is not merely to assess whether AI tools function effectively, but to ask what kind of people and communities they are helping us become. In an age marked by artificial intimacy, we must remain vigilant in affirming the irreplaceable value of genuine presence, mutuality and human-to-human connection.