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Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior [article]

Angie Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt
2022 arXiv   pre-print
We use Shared Interest to identify eight recurring patterns in model behavior, such as cases where contextual features or a subset of ground truth features are most important to the model.  ...  However, interpreting saliency requires tedious manual inspection to identify and aggregate patterns in model behavior, resulting in ad hoc or cherry-picked analysis.  ...  Acknowledgments This work was supported by MIT-IBM Watson AI project "Towards Intuitive AI" and the first author was supported by the John W. Jarve (1978) Fellowship.  ... 
arXiv:2107.09234v2 fatcat:ylw7eyywbjez3fwbex4datdweu

Citizens Versus the Internet: Confronting Digital Challenges With Cognitive Tools

Anastasia Kozyreva, Stephan Lewandowsky, Ralph Hertwig
2020 Psychological Science in the Public Interest  
We then identify four major types of challenges that users encounter in online environments: persuasive and manipulative choice architectures, AI-assisted information architectures, false and misleading  ...  This online landscape holds multiple negative consequences for society, such as a decline in human autonomy, rising incivility in online conversation, the facilitation of political extremism, and the spread  ...  Acknowledgments We are grateful to Gerd Gigerenzer, Stefan Herzog, Philipp Lorenz-Spreen, Gordon Pennycook, Sam Wineburg, Mark Leiser, and two anonymous reviewers for their comments and suggestions.  ... 
doi:10.1177/1529100620946707 pmid:33325331 pmcid:PMC7745618 fatcat:ur4yjvucgvc7be2yy4h3idxusq

What's in a Name: examining Discrimination on Sharing Platforms and its Possible remedies

Olga Abramova
2020 European Conference on Information Systems  
Sharing platforms emerged as the new Holy Grail of value creation by enabling exchanges between strangers. To build trust, users are encouraged to extensively present themselves online.  ...  So far, understanding of the equivocal effects of personal information in the sharing context remained ambiguous, with past research reporting a disparity in outcomes (e.g., price, acceptance rate and  ...  behavior, and 2) collective models, which explore how groups behave against each other, with Twenty-Eighth European Conference on Information Systems (ECIS2020) -A Virtual AIS Conference. the majority  ... 
dblp:conf/ecis/Abramova20 fatcat:e3ka6fhue5edxetu3k5m2knmva

Conclusions and Recommendations

2002 Psychological Science in the Public Interest  
ACKNOWLEDGMENTS The authors would like to acknowledge Ramdus Murali for his work in implementing the assumption-based truth maintenance used in SATURN, Steve Minnaar and KAre Christiansen for extensively  ...  Beta testing SATURN, and the reviewers for their valuable suggestions in improving this paper.  ...  The project sponsors are particularly interested in capabilities that support work with recurring building rypes, that is, building types dealt with frequently in a design firm.  ... 
doi:10.1111/1529-1006.00008f fatcat:jnj6wg7rlzc7ve7bv5gt46i55q

Why Not Use the Sea? A Shared Value Approach to Sustainable Value Creation When Using Carbon Dioxide as a Valuable Resource in Manufacturing

Ukeje Jacob Agwu, Elin Merethe Oftedal, Giovanna Bertella
2022 Frontiers in Sustainability  
This study thus contributes to the growing body of empirical literature on creating shared value and business models for sustainability.  ...  Interest on the creation of sustainable value has recently increased as a response to global issues caused by traditional business-as-usual logic.  ...  ACKNOWLEDGMENTS The authors would like to thank the iCCU Research Group at UiT, all participating interviewees and the peer reviewers, whose contributions have made the research and publication of this  ... 
doi:10.3389/frsus.2022.910966 fatcat:6fj2t22h7ba35k6qjai2dhmr3a

From Children's Interests to Parental Responsibility: Degendering Parenthood through Custodial Obligation

Ariel Ayanna
2012 UCLA women's law journal  
to improve measurably those agreements." ble goal of aligning custody decisions with the best interests of children.  ...  measures of best interests in the short term.  ...  Alternatives either maintain the status quo, which tends to promote inequality (e.g., the primary caregiver presumption or the approximation standard), or actively attack women's interests without offering  ... 
doi:10.5070/l3191017825 fatcat:xbrmebyfbbhqdnguxjhycgntz4

System Patterns in Engineering and Science [chapter]

William D. Schindel
2020 Handbook of Systems Sciences  
S*Models are intended to identify all the classes of stakeholder for systems of interest, not just direct users or customers, and to establish modeled feature sets for all those stakeholders.  ...  and their math/IT tools can apply here (data mining, pattern extraction, cognitive AI tooling). • Tools and methods for discovery / extraction of recurring patterns of external behavior. • Physical scientists  ... 
doi:10.1007/978-981-13-0370-8_19-1 fatcat:v46lqpwfcbap5iffdjac46n5yy

CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery [article]

Nadya Bliss, Mark Briers, Alice Eckstein, James Goulding, Daniel P. Lopresti, Anjali Mazumder, Gavin Smith
2021 arXiv   pre-print
The primary goal was to explore ways in which long-range research in artificial intelligence (AI) could be applied to the fight against human trafficking.  ...  Roadmap for Artificial Intelligence Research in the US (AI Roadmap) to challenges vital in achieving the UN's Sustainable Development Goal Target 8.7, the elimination of modern slavery.  ...  Acknowledgements The organizers would like to thank James Cockayne (Nottingham) and the workshop participants for their input in this report.  ... 
arXiv:2106.13186v1 fatcat:5iqvh5w4vrd6djzyvqz3f6fh3i

Towards a Roadmap on Software Engineering for Responsible AI [article]

Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing
2022 arXiv   pre-print
To close the gap in operationalizing responsible AI, this paper aims to develop a roadmap on software engineering for responsible AI.  ...  and (iii) building responsible-AI-by-design into AI systems through system-level architectural style, patterns and techniques.  ...  Recurring requirements and reusable patterns/practices have been summarized in for privacy [36] .  ... 
arXiv:2203.08594v1 fatcat:b47ffuu6pfb2bh4humtgjaujtu

Semi-automatic task recognition for interactive narratives with EAT & RUN

Jeff Orkin, Tynan Smith, Hilke Reckman, Deb Roy
2010 Proceedings of the Intelligent Narrative Technologies III Workshop on - INT3 '10  
Human annotation of course-grained tasks can provide explanations that make the data more useful to an AI system, however human labor is expensive.  ...  Mining data from online games provides a potential alternative to programming behavior and dialogue for characters in interactive narratives by hand.  ...  Human annotations explain to the AI system the intent behind recurring patterns of physical and/or linguistic behavior.  ... 
doi:10.1145/1822309.1822312 dblp:conf/int-ws/OrkinSRR10 fatcat:tpf7kj5e4fgj3dwxeoqesc4z34

The Diagrammatic AI Language (DIAL): Version 0.1 [article]

Guy Marshall, André Freitas
2018 arXiv   pre-print
This lack of representation brings interpretability, correctness and completeness challenges in the description of existing models and systems.  ...  Currently, there is no consistent model for visually or formally representing the architecture of AI systems.  ...  Acknowledgements The authors would like to thank Viktor Schlegel, Chaohui Marshall and three anonymous reviewers for their useful comments.  ... 
arXiv:1812.11142v1 fatcat:uzaqojpncbbpvivnipvxtiqlfe

Interactionist AI and the promise of ubicomp, or, how to put your box in the world without putting the world in your box

Lucian Leahu, Phoebe Sengers, Michael Mateas
2008 Proceedings of the 10th international conference on Ubiquitous computing - UbiComp '08  
In many ways, the central problem of ubiquitous computing -how computational systems can make sense of and respond sensibly to a complex, dynamic environment laden with human meaning -is identical to that  ...  In this paper, we explore a key moment in AI's history where researchers grappled directly with these issues, resulting in a variety of novel technical solutions within AI.  ...  This work was supported in part by the following NSF grants: IIS-0752684, IIS-0238132 and IIS-0534445.  ... 
doi:10.1145/1409635.1409654 dblp:conf/huc/LeahuSM08 fatcat:a7k2dv5tardyxfovnzntjjx7rm

Zero Botnets: An Observe-Pursue-Counter Approach [article]

Jeremy Kepner, Jonathan Bernays, Stephen Buckley, Kenjiro Cho, Cary Conrad, Leslie Daigle, Keeley Erhardt, Vijay Gadepally, Barry Greene, Michael Jones, Robert Knake, Bruce Maggs (+13 others)
2022 arXiv   pre-print
Systems analysis has been widely used in other domains to achieve sufficient detail to enable these questions to be dealt with in concrete terms.  ...  Adversarial Internet robots (botnets) represent a growing threat to the safe use and stability of the Internet.  ...  Acknowledgements The authors wish to acknowledge the following individuals for their contributions and support: Bob Bond, Alan Edelman, Jeff Gottschalk, Chris Hill, Charles Leiserson, Mimi McClure, Damian  ... 
arXiv:2201.06068v1 fatcat:wnrwujrym5chrpmktajrrkxh5a

"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts

Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao-Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
2022 Designing Interactive Systems Conference  
Data-driven AI systems are increasingly used to augment human decision-making in complex, social contexts, such as social work or legal practice.  ...  Yet, most existing design knowledge regarding how to best support AI-augmented decision-making comes from studies in comparatively well-defned settings.  ...  This work would not be possible without the support and feedback provided by our collaborators at Allegheny County's Department of Human Services, including all of the call screeners and supervisors interviewed  ... 
doi:10.1145/3532106.3533556 fatcat:kv6a4cafjvfn5l2hjopigni6xa

Issues in dealing with sequential and temporal characteristics of self- and socially-regulated learning

Roger Azevedo
2014 Metacognition and Learning  
Therefore, these new methods, despite being exploratory in nature, have the potential to transform current conceptions of SRL by augmenting our models and theories of SRL by delineating microlevel processes  ...  (e.g., specific metacognitive processes) to existing theories and models that are either too abstract or focus on macrolevel processes (e.g., monitoring), and by generating testable hypotheses based on  ...  Acknowledgments This research was supported in part by the National Science Foundation, the Institute of Education Sciences, the Social Sciences and Humanities Research Council of Canada, and the Natural  ... 
doi:10.1007/s11409-014-9123-1 fatcat:csgzdvkl6nbidfmmh5bpm74zty
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