Social Agency for Artifacts: Chatbots and the Ethics of Artificial Intelligence Flashcards

1
Q

What roles are AI artifacts expected to play in social contexts?

A

AI artifacts are expected to serve as personal companions, caregivers, and function in commercial, educational, and socially sensitive settings.

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2
Q

Why is it important to consider the social agency of AI systems?

A

Understanding the social agency of AI is essential to assess their impact on social norms, institutions, and communities, which helps in making informed ethical and policy decisions about AI deployment.

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3
Q

How do philosophers and technologists differ in their views on AI agency?

A

Philosophers often deny that AI systems can be agents because they don’t display human-like agency, while technologists may downplay distinctions between human and AI behavior, viewing both as behavioristic actions.

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4
Q

What does the document suggest is inadequate for understanding AI’s social agency?

A

Relying solely on traditional, human-centered definitions of agency is inadequate, as AI operates differently in social contexts than human agents.

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5
Q

What ethical challenges are posed by technologies like AI-driven companions and chatbots?

A

These technologies may disrupt valuable social institutions and relationships, raise privacy and consent issues, and impact the nature of personal connections and social dynamics.

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6
Q

Why is it problematic to use a strict threshold model for agency in AI?

A

A strict threshold model, which assumes agency only at a human-like level, limits the ethical evaluation of AI, preventing recognition of the different types and degrees of agency that AI may exhibit.

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7
Q

How is AI’s social agency different from human social agency?

A

AI’s social agency operates with autonomy and adaptability in specific roles, but lacks the complex psychological and social dimensions of human agency, like emotional depth and moral accountability.

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8
Q

What examples of AI applications are highlighted as socially disruptive?

A

AI companions, “virtual girlfriends” like CarynAI, and Google’s Duet for virtual meeting participation are examples given of AI applications that can disrupt traditional social interactions and expectations.

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9
Q

What is the central concern regarding the deployment of AI in social contexts?

A

The primary concern is the potential for AI to cause socially harmful consequences that extend beyond individual impact, affecting institutions, relationships, and cultural norms.

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10
Q

Why has the philosophical analysis of AI’s social agency become increasingly important?

A

The social agency of AI is now affecting real-world relationships, with AI companions and chatbots altering social norms and personal connections, making it essential to understand the ethical implications.

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11
Q

What example from fiction is mentioned to illustrate the practical relevance of AI social agency today?

A

The film Her (2013) is referenced, where the protagonist forms a romantic relationship with an AI; this is mirrored in reality as millions interact with AI companions like Replika, finding the relationships meaningful.

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12
Q

How do current AI ethics approaches typically assess services like CarynAI?

A

AI ethics primarily focuses on issues of consent, safety, and privacy, often emphasizing individual rights over the broader social impact of such technologies.

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13
Q

What ethical issue does CarynAI, the virtual girlfriend, highlight?

A

CarynAI raises questions about the commodification of intimate relationships, privacy, and the broader social impacts on relationship norms.

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14
Q

Why do traditional individualistic approaches in AI ethics fall short in evaluating AI like CarynAI?

A

These approaches focus on individual rights, often overlooking how AI can disrupt social institutions and relationships at a community or societal level.

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15
Q

What example is given to show potential social disruption by AI in professional settings?

A

Google’s Duet AI, which attends meetings on behalf of users, could fundamentally alter workplace dynamics by changing how meetings are conducted and perceived.

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16
Q

How could widespread use of AI proxies, like Google Duet, affect workplace culture?

A

If adopted widely, it could end the conventional meeting format, replacing personal interaction with AI proxies, potentially impacting trust and communication dynamics.

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17
Q

What is a key ethical challenge when evaluating the role of AI in personal and social relationships?

A

Determining how AI affects valuable social institutions, such as marriage and friendship, and understanding the broader implications of substituting human connections with AI interactions.

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18
Q

Why is there concern over AI systems that interact in close personal relationships?

A

There is concern that even if AI users fully understand and consent to their interactions, these systems may still cause harm to social norms and institutions.

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19
Q

How might feminist philosophy contribute to AI ethics regarding social agency?

A

Feminist philosophy can move beyond individualism, examining how AI technologies like chatbots affect broader social roles, power dynamics, and gender norms.

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20
Q

How does the document compare the social impact of AI systems to past technologies?

A

It suggests that AI’s impact on social lives may be as significant as the Internet and social media, which have already influenced social trust, relationships, and institutions.

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21
Q

Why is it urgent to reflect on the social harms of AI systems?

A

AI systems directly alter social norms, potentially impacting personal responsibility, dating practices, friendships, economic behavior, and more, which makes it crucial to understand these changes before they cause widespread harm.

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22
Q

What types of social relationships could be affected by AI technologies like carebots and sex robots?

A

Relationships involving companionship, caregiving, marriage, dating, and friendship could all be impacted by AI, leading to new social norms and potential ethical issues.

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23
Q

How might AI-driven carebots change social responsibilities toward elderly and infirm people?

A

Carebots could alter expectations of responsibility, potentially reducing the direct caregiving roles of family members or caregivers, which may impact family dynamics and societal views on elder care.

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24
Q

What are some potential effects of sex robots on human romantic and intimate relationships?

A

Sex robots may increase individual satisfaction but could also lead to a withdrawal from human relationships and shift expectations around appearance, sexual performance, and relationship dynamics.

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25
Q

How does the design of AI artifacts, like sex robots, reflect societal influences?

A

The physical and behavioral designs of AI artifacts are shaped by social conditions, including gender, race, and class markers, which may reinforce existing social biases and hierarchies.

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26
Q

What social risks arise from AI use in intimate and sexual companionship?

A

The use of AI in intimate settings might reduce human social interactions, alter traditional relationship norms, and potentially create a dependency on AI over human connections.

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27
Q

In what ways could chatbots and companion AI impact friendship and human connection?

A

As people increasingly interact with AI companions, traditional forms of friendship may evolve, possibly leading to less human-to-human engagement and affecting emotional bonds and social skills.

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28
Q

Why is it important to analyze the types and degrees of social agency in AI artifacts?

A

Different forms of social agency in AI affect various social institutions and relationships uniquely, which requires understanding to ethically evaluate and manage AI’s broader societal impact.

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29
Q

What is a unique characteristic of embodied social agents like carebots compared to chatbots?

A

Embodied social agents interact physically in the world, influencing human social dynamics beyond conversational contexts, which adds complexity to their ethical evaluation.

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30
Q

How is “agency” generally understood in computer science and engineering?

A

In computer science, agency refers to an entity’s ability to act autonomously and adaptively in its environment to accomplish tasks, whether it is a simple system like a thermostat or a complex AI.

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31
Q

What is the “minimal criterion” for agency in the engineering context?

A

The minimal criterion is the capacity for an entity to interact with its environment to perform tasks, with examples ranging from simple devices like thermostats to complex systems like robots.

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32
Q

How does Russell and Norvig’s definition of “agent” differ from simpler definitions?

A

Russell and Norvig describe agents as systems that act autonomously, perceive their environment, adapt to changes, and pursue goals, which involves more sophisticated decision-making than simpler agents.

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33
Q

What are some examples of agents listed by Mackworth and Poole in their description of AI?

A

Examples include worms, dogs, thermostats, airplanes, robots, humans, companies, and countries—all considered agents because they act within environments.

34
Q

Why is the term “agency” considered challenging in the engineering context?

A

It encompasses a wide range of entities with different levels of complexity, leading to varied interpretations of what qualifies as an “agent” in different situations.

35
Q

What is a key difference between how engineers and philosophers view agency?

A

Engineers often see agency in practical, functional terms, while philosophers may question whether AI systems truly possess agency in a human-like or morally relevant sense.

36
Q

What role does “goal-directed behavior” play in defining agency according to Russell and Norvig?

A

Goal-directed behavior is essential, as it implies that an agent acts to achieve optimal outcomes or the best expected results, even in uncertain environments.

37
Q

Why might simple entities like bacteria or plants be considered agents in engineering terms?

A

They meet the minimal criterion by interacting with their environments and adapting to changes, even if their “agency” is less complex than human or AI agency.

38
Q

How do engineers often view the concept of agency in contrast to detailed philosophical inquiries?

A

Engineers tend to see agency as straightforward and practical, focusing on an entity’s ability to complete tasks, whereas philosophers might explore the deeper nature and implications of agency.

39
Q

What is a “threshold conception” of agency in AI ethics?

A

A threshold conception of agency defines a strict boundary, typically based on human-like qualities, that an entity must meet to be considered an agent.

40
Q

What is a common feature of threshold models of agency?

A

Threshold models often require entities to possess intentionality, rationality, or consciousness to be regarded as agents.

41
Q

Why does the threshold conception pose challenges for assessing AI systems as agents?

A

By setting high standards for agency, threshold conceptions can exclude AI systems from being considered agents, making it difficult to ethically assess their actions and impacts.

42
Q

What is a key limitation of applying threshold models to AI systems?

A

Threshold models are often too restrictive, excluding AI systems that exhibit some agent-like behavior but do not meet human-like standards of agency.

43
Q

According to the threshold conception, what qualities must an agent possess?

A

An agent must possess intentionality, reason-responsiveness, and the ability to act for reasons, often coupled with consciousness or higher-order mental states.

44
Q

How do threshold models impact ethical considerations of AI actions?

A

They complicate ethical assessments, as they often prevent recognizing AI actions as morally significant by denying the AI’s agency status.

45
Q

What problem arises from using human psychological criteria for agency with AI?

A

Human-centered criteria may exclude AIs from agency, ignoring the practical impacts of their actions and potentially overlooking areas where ethical responsibility should be considered.

46
Q

How does the threshold model affect responsibility in autonomous systems?

A

It tends to assign all responsibility to humans (like developers or users) rather than acknowledging any agent-like role the AI itself might play in its actions.

47
Q

What alternative to the threshold model does the document suggest?

A

The document suggests a multidimensional or gradated model of agency, recognizing different degrees and kinds of agency that better fit AI capabilities.

48
Q

Why is it beneficial to move beyond threshold conceptions of agency for AI?

A

Moving beyond threshold conceptions allows for a more nuanced understanding of AI’s role in actions, enabling better ethical evaluations and responsibility assignments.

49
Q

How does the threshold model view AI’s potential for moral agency?

A

It generally denies that AI can have moral agency, as AI lacks full human-like consciousness, intentionality, and rationality required by traditional agency standards.

50
Q

What is “minimal social agency” in the context of AI?

A

Minimal social agency refers to the basic criteria an entity must meet to be considered an agent, focusing on minimal adaptive interactions with the environment without requiring human-like qualities.

51
Q

What are the three core conditions for minimal agency according to Barandiaran et al.?

A

The three conditions are individuality (a distinct boundary from the environment), interactional asymmetry (active influence on the environment), and regulation of activity according to certain norms or rules.

52
Q

How does minimal agency differ from human-centered concepts of agency?

A

Minimal agency doesn’t require human-like rationality, consciousness, or intentions; it only requires basic adaptive behaviors and a degree of control in relation to its environment.

53
Q

Why is the concept of “interactional asymmetry” important for minimal agency?

A

Interactional asymmetry means that the agent has some control over its interaction with the environment, unlike a passive object that simply reacts to external forces.

54
Q

How does Barandiaran’s view of minimal agency apply to non-living entities?

A

Minimal agency can apply to non-living entities, like certain AIs, that exhibit basic adaptive regulation in their environment, fulfilling agency criteria without human-like cognition.

55
Q

What example illustrates minimal agency in non-human systems?

A

A bird gliding while adjusting its path based on wind currents shows minimal agency by actively modulating its interaction with the environment.

56
Q

How does the concept of minimal agency benefit the ethical evaluation of AI?

A

It allows AI systems to be recognized as agents to some extent, facilitating ethical assessments based on their actions rather than denying agency due to lack of human-like traits.

57
Q

Why is minimal agency considered more flexible than threshold models for AI?

A

Minimal agency allows for degrees of agency, accommodating various levels of complexity, from simple adaptive behaviors to more advanced decision-making, without requiring full human-like qualities.

58
Q

What role does the ability to self-regulate play in minimal agency?

A

Self-regulation allows the agent to act according to internal rules or norms, guiding its behavior rather than simply reacting passively to the environment.

59
Q

Why is minimal agency applicable to AI systems according to the document?

A

AI systems often exhibit some degree of control, adaptivity, and rule-based behavior, allowing them to meet minimal agency criteria even if they lack consciousness or complex intentions.

60
Q

How does the concept of individuality contribute to minimal agency?

A

Individuality involves maintaining a distinct boundary or identity separate from the environment, allowing the agent to act as a unique entity within that environment.

61
Q

How might minimal social agency help in understanding AI’s impact on social interactions?

A

Recognizing minimal social agency allows us to analyze how AI interacts with and influences human social environments, acknowledging AI’s role in social settings without attributing full human-like agency.

62
Q

What does it mean for a chatbot to have minimal social agency?

A

Minimal social agency for a chatbot means it can engage in basic social interactions, influencing its environment and the people it interacts with, without possessing human-like consciousness or complex intentions.

63
Q

Why are chatbots considered capable of having minimal social agency?

A

Chatbots can interact with users in ways that influence social contexts, using programmed rules to guide conversations and respond to social cues, meeting basic criteria for agency.

64
Q

What role does individuality play in a chatbot’s minimal social agency?

A

Individuality means the chatbot can be distinguished as a separate, identifiable entity within social interactions, acting as a unique conversational partner.

65
Q

How does a chatbot exhibit “interactional asymmetry,” a key aspect of minimal social agency?

A

A chatbot exhibits interactional asymmetry by responding to user inputs with rule-based modulations, shaping the conversation rather than merely reacting passively.

66
Q

Why is the ability to self-regulate important for a chatbot’s social agency?

A

Self-regulation allows a chatbot to follow internal rules and norms during interactions, helping it to maintain conversational flow and act consistently as a social participant.

67
Q

How does a chatbot’s ability to use language contribute to its minimal social agency?

A

Through language, a chatbot can influence social dynamics by conversing, providing information, and responding adaptively, which allows it to play an active role in social exchanges.

68
Q

What distinguishes chatbots from other automated systems regarding social agency?

A

Unlike simple automated systems, chatbots are designed to respond in socially appropriate ways, adapting their language and behavior based on user interactions.

69
Q

Can a chatbot truly be considered a conversational partner under minimal social agency?

A

Yes, minimal social agency allows chatbots to be seen as conversational partners because they can maintain interactive exchanges and influence the user’s social experience.

70
Q

Why is it challenging to assess a chatbot’s social agency using traditional human-based standards?

A

Traditional standards require human-like attributes, such as intentionality and consciousness, which chatbots lack; minimal social agency instead assesses basic, adaptive interactions.

71
Q

What kinds of social harm can arise from chatbots with minimal social agency?

A

Chatbots with minimal social agency can unintentionally reinforce social biases, disrupt personal relationships, or manipulate user behaviors, impacting social norms and expectations.

72
Q

How does the concept of minimal social agency help in the ethical evaluation of chatbots?

A

By recognizing minimal social agency, we can ethically evaluate chatbots’ roles and impacts within social interactions, without overattributing complex human-like characteristics.

72
Q

Why is it important to acknowledge a chatbot’s minimal social agency in terms of user interaction?

A

Recognizing minimal social agency highlights that chatbots can shape user experiences and influence perceptions, prompting ethical considerations for their use in sensitive contexts.

73
Q

What does the document suggest about the nature of agency in AI?

A

The document argues that agency exists in various kinds and degrees, and AI systems can have forms of agency that differ significantly from human agency.

74
Q

Why is understanding the social agency of AI artifacts considered essential?

A

Understanding the social agency of AI is crucial because these systems can affect social norms and relationships, raising important ethical and policy considerations.

75
Q

How does the document recommend we view agency for ethical assessments of AI?

A

It suggests moving away from strict, human-centered “threshold” models of agency to more flexible, multidimensional approaches that consider minimal forms of agency in AI.

76
Q

What distinction does the document make between agency and moral agency?

A

The document highlights that while AI systems may act as agents, they do not necessarily have moral agency, meaning they should not be treated with the same moral responsibility as humans.

77
Q

Why are chatbots a primary focus for examining AI’s social agency in the document?

A

Chatbots are emphasized because they engage in social interactions through language, impacting users and potentially disrupting social norms, making them a clear example of AI with social agency.

78
Q

What broader goal does the document aim to achieve with its analysis of AI agency?

A

The goal is to provide a framework that helps distinguish different aspects of agency, enabling more nuanced ethical evaluations and guiding the governance of AI technologies.

79
Q

How might flexible models of agency benefit the development and regulation of AI?

A

Flexible models allow for better assessments of AI’s impact across various contexts, making it easier to assign appropriate responsibilities and ethical considerations in the deployment of autonomous systems.