The media has portrayed certain artificial intelligence (AI) software as committing moral violations such as the AI judge of a human beauty contest being “racist” when it selected predominately ...light-skinned winners. We examine people's attributions of morality for seven such real-world events that were first publicized in the media, experimentally manipulating the occurrence of a violation and the inclusion of information about the AI's algorithm. Both the presence of the moral violation and the information about the AI's algorithm increase participant's reporting of a moral violation occurring in the event. However, even in the violation outcome conditions only 43.5 percent of the participants reported that they were sure that a moral violation occurred. Addressing whether the AI is blamed for the moral violation we found that people attributed increased wrongness to the AI – but not to the organization, programmer, or users – after a moral violation. In addition to moral wrongness, the AI was attributed moderate levels of awareness, intentionality, justification, and responsibility for the violation outcome. Finally, the inclusion of the algorithm information marginally increased perceptions of the AI having mind, and perceived mind was positively related to attributions of intentionality and wrongness to the AI.
•AI's real-world moral violations only reported 43.5% of the time.•Knowledge of algorithm increases moral violation perception.•AI not organization, programmer, or use is attributed wrongness.•AI attributed mind, awareness, intentionality, justification, and responsibility.
It is now common for people to encounter artificial intelligence (AI) across many areas of their personal and professional lives. Interactions with AI agents may range from the routine use of ...information technology tools to encounters where people perceive an artificial agent as exhibiting mind. Combining two studies (useable N = 266), we explore people's qualitative descriptions of a personal encounter with an AI in which it exhibits characteristics of mind. Across a range of situations reported, a clear pattern emerged in the responses: the majority of people report their own emotions including surprise, amazement, happiness, disappointment, amusement, unease, and confusion in their encounter with a minded AI. We argue that emotional reactions occur as part of mind perception as people negotiate between the disparate concepts of programmed electronic devices and actions indicative of human-like minds. Specifically, emotions are often tied to AIs that produce extraordinary outcomes, inhabit crucial social roles, and engage in human-like actions. We conclude with future directions and the implications for ethics, the psychology of mind perception, the philosophy of mind, and the nature of social interactions in a world of increasingly sophisticated AIs.
•Participants reported personal encounters with minded AIs.•Over half reported experiencing emotions in these interactions.•Emotions included surprised, amazed, happy, sad, amused, unease, and confused.•AIs produced extraordinary outcomes, human-like actions, and inhabit social roles.
How “Stuff” Matters in Affect Control Theory Lulham, Rohan; Shank, Daniel B.
The American behavioral scientist (Beverly Hills),
02/2023, Letnik:
67, Številka:
2
Journal Article
Recenzirano
Physical artifacts are not neutral but are increasingly recognized across the social sciences as important to structuring meaning and social interaction. Affect control theory shows promise as a ...framework for articulating and exploring the role of the material world in everyday life. In this study, we formalize, extend, and elaborate this line of research, instituting physical artifacts within affect control theory. We examine how physical artifacts function within affect control theory as modifiers of identities. We undertake a full-scale identity-modification study, collecting affective meaning data from 825 respondents on 58 identities, 52 physical artifacts, and 212 artifact-modified identities across a range of identities and artifact types. We empirically estimate how physical artifacts change perceptions of identities and illustrate the application of the new equations by deriving artifact-modified identities from a range of hypothetical scenarios. Using a transformation of the equations, we also simulate how people may use physical artifacts to create a desired impression when occupying different identities. Through establishing physical artifacts within affect control theory, this research raises new questions and opportunities for the theory and those interested in the design, use, and experience of physical artifacts.
Objective
This study manipulates the presence and reliability of AI recommendations for risky decisions to measure the effect on task performance, behavioral consequences of trust, and deviation from ...a probability matching collaborative decision-making model.
Background
Although AI decision support improves performance, people tend to underutilize AI recommendations, particularly when outcomes are uncertain. As AI reliability increases, task performance improves, largely due to higher rates of compliance (following action recommendations) and reliance (following no-action recommendations).
Methods
In a between-subject design, participants were assigned to a high reliability AI, low reliability AI, or a control condition. Participants decided whether to bet that their team would win in a series of basketball games tying compensation to performance. We evaluated task performance (in accuracy and signal detection terms) and the behavioral consequences of trust (via compliance and reliance).
Results
AI recommendations improved task performance, had limited impact on risk-taking behavior, and were under-valued by participants. Accuracy, sensitivity (d’), and reliance increased in the high reliability AI condition, but there was no effect on response bias (c) or compliance. Participant behavior was only consistent with a probability matching model for compliance in the low reliability condition.
Conclusion
In a pay-off structure that incentivized risk-taking, the primary value of the AI recommendations was in determining when to perform no action (i.e., pass on bets).
Application
In risky contexts, designers need to consider whether action or no-action recommendations will be more influential to design appropriate interventions.
Empirical findings on public goods dilemmas indicate an unresolved dilemma: that increasing size-the number of people in the dilemma-sometimes increases, decreases, or does not influence cooperation. ...We clarify this dilemma by first classifying public goods dilemma properties that specify individual outcomes as individual properties (e.g., Marginal Per Capita Return) and group outcomes as group properties (e.g., public good multiplier), mathematically showing how only one set of properties can remain constant as the dilemma size increases. Underpinning decision-making regarding individual and group properties, we propose that individuals are motivated by both individual and group preferences based on a theory of collective rationality. We use Van Lange's integrated model of social value orientations to operationalize these preferences as an amalgamation of outcomes for self, outcomes for others, and equality of outcomes. Based on this model, we then predict how the public good's benefit and size, combined with controlling individual versus group properties, produce different levels of cooperation in public goods dilemmas. A two (low vs. high benefit) by three (2-person baseline vs. 5-person holding constant individual properties vs. 5-person holding constant group properties) factorial experiment (group n = 99; participant n = 390) confirms our hypotheses. The results indicate that when holding constant group properties, size decreases cooperation. Yet when holding constant individual properties, size increases cooperation when benefit is low and does not affect cooperation when benefit is high. Using agent-based simulations of individual and group preferences vis-à-vis the integrative model, we fit a weighted simulation model to the empirical data. This fitted model is sufficient to reproduce the empirical results, but only when both individual (self-interest) and group (other-interest and equality) preference are included. Our research contributes to understanding how people's motivations and behaviors within public goods dilemmas interact with the properties of the dilemma to lead to collective outcomes.
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Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Hyperfractionated cyclophosphamide and dexamethasone (HyperCd) alone, or with carfilzomib(K) and/or daratumumab(D), represents a potential treatment option when rapid disease control is needed for ...patients with aggressive presentations of relapsed/refractory multiple myeloma (RRMM).
This is a single-center, retrospective analysis of adult patients with RRMM who received HyperCd with or without K and/or D between May 1, 2016 and August 1, 2019 at the University of Texas MD Anderson Cancer Center. We here report treatment response and safety outcomes.
Data from 97 patients, 12 with plasma cell leukemia (PCL), were reviewed in this analysis. Patients had had a median of 5 prior lines of therapy and received a median of 1 consecutive cycle of hyperCd-based therapy. The overall response rate (ORR) of all patients was 71.8% (HyperCd 75%, HyperCdK 64.3%, D-HyperCd 73.3%, and D-HyperCdK 76.9%). Median progression-free survival and overall survival among all patients was 4.3 months (HyperCd 3.1 months, HyperCdK 4.5 months, D-HyperCd 3.3 months, and D-HyperCdK 6 months) and 9.0 months (HyperCd 7.4 months, HyperCdK 9.0 months, D-HyperCd 7.5 months, and D-HyperCdK 15.2 months), respectively. Grade 3/4 hematologic toxicities were common, thrombocytopenia being the most frequent at 76%. Notably, 29-41% of patients per treatment group had existing grade 3/4 cytopenias at initiation of hyperCd-based therapy.
HyperCd-based regimens provided rapid disease control among MM patients, even when heavily pre-treated and with few remaining treatment options. Grade 3/4 hematologic toxicities were frequent, but manageable with aggressive supportive care.
Hyperfractionated cyclophosphamide-dexamethasone (hyperCd) with or without carfilzomib and/or daratumumab is a potential treatment option for patients with multiple myeloma needing rapid disease control. This retrospective analysis of 97 patients describes the safety and efficacy of these regimens. With hyperCd-based therapy, rapid disease control is achievable. Associated hematologic toxicities occur frequently, but are manageable with aggressive supportive care.
In a blurb on the back of Kojin Karatani's insightfully original The Structure of World History, Frederic Jameson describes the book as a "monumental and provocative synthesis" that "testifies to a ...dramatic rebirth of universal history in recent times." Karatani's work is certainly monumental and provocative, but to call it a synthesis of any extant literature is to completely misrepresent the distinctive originality of Karatani's achievement. Jameson may also have a different corpus of universal history in mind, but from my perspective within but also inescapably in between the professional academic historical disciplines, Karatani's work is less a condensation of current trends than a novel departure from them. Overall, The Structure of World History deserves to be read not because it synthesizes current thinking about universal history but because of its refreshing break from the status quo. It is also compelling because of Karatani's radical reconceptualization of the very foundations of universal history in light of twenty-first-century concerns.
This article presents the data from two surveys that asked about everyday encounters with artificial intelligence (AI) systems that are perceived to have attributes of mind. In response to specific ...attribute prompts about an AI, the participants qualitatively described a personally-known encounter with an AI. In survey 1 the prompts asked about an AI planning, having memory, controlling resources, or doing something surprising. In survey 2 the prompts asked about an AI experiencing emotion, expressing desires or beliefs, having human-like physical features, or being mistaken for a human. The original responses were culled based on the ratings of multiple coders to eliminate responses that did not adhere to the prompts. This article includes the qualitative responses, coded categories of those qualitative responses, quantitative measures of mind perception and demographics. For interpretation of this data related to people's emotions, see Feeling our Way to Machine Minds: People's Emotions when Perceiving Mind in Artificial Intelligence Shank et al., 2019.
Climate change communication research has mainly focused on how to communicate climate change effectively to the public. By contrast, how such information is then spread through interpersonal social ...networks has been neglected, despite being an essential component of cultural change. Using a Facebook-like format, we examined what types of climate change messages ‘survive’ when passed between individuals via communication network chains. We found that statements centred on conventional climate change topics (e.g., its impact on the natural world and human health) survived longer in communication chains than those with less conventional topics (e.g., its impact on societal competence, development, or communality). Moreover, statements about gains from mitigation (gain-frames) survived more than those about costs of non-mitigation (loss-frames) in initial communications, but loss-framed information survived more later in communication chains. In light of research showing that climate change messages focused on society and/or gain frames can motivate action, this research highlights a challenge by showing that these messages are less likely to be spread throughout society.
Adopting successful climate change mitigation policies requires the public to choose how to balance the sometimes competing goals of managing CO2 emissions and achieving economic growth. It follows ...that collective action on climate change depends on members of the public to be knowledgeable of the causes and economic ramifications of climate change. The existing literature, however, shows that people often struggle to correctly reason about the fundamental accumulation dynamics that drive climate change. Previous research has focused on using analogy to improve people's reasoning about accumulation, which has been met with some success. However, these existing studies have neglected the role economic factors might play in shaping people's decisions in relation to climate change. Here, we introduce a novel iterated decision task in which people attempt to achieve a specific economic goal by interacting with a causal dynamic system in which human economic activities, CO2 emissions, and warming are all causally interrelated. We show that when the causal links between these factors are highlighted, people's ability to achieve the economic goal of the task is enhanced in a way that approaches optimal responding, and avoids dangerous levels of warming.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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