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2022

Artificial intelligence

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Full-Text Articles in Social and Behavioral Sciences

Strategic Perspective Of Leveraging New Generation Information Technology To Enable Modernization Of Emergency Management, Haibo Zhang, Xinyu Dai, Depei Qian, Jian Lyu Dec 2022

Strategic Perspective Of Leveraging New Generation Information Technology To Enable Modernization Of Emergency Management, Haibo Zhang, Xinyu Dai, Depei Qian, Jian Lyu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The application and development of the new generation information technology is a vital support to realize the modernization of emergency management. At present, the new generation information technology such as big data and artificial intelligence has been widely used in natural disasters, safe production, and other fields. It has improved the monitoring and early warning, regulation and law enforcement, command and decision support, rescue, and social mobilization capabilities of governments, promoted the level of intrinsic safety of enterprises, provided important support for the precise prevention and control of the COVID-19, and increased the efficiency of China’s emergency management and sense …

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The Eu's Capacity To Lead The Transatlantic Alliance In Ai Regulation, Varun Roy, Vignesh Sreedhar Oct 2022

The Eu's Capacity To Lead The Transatlantic Alliance In Ai Regulation, Varun Roy, Vignesh Sreedhar

Claremont-UC Undergraduate Research Conference on the European Union

In the face of Chinese advances in AI in terms of technological prowess and influence, there has been a call for collaboration between the EU and the US to create a foundation for AI governance based on shared democratic beliefs. This paper maps out the EU, US, and Chinese approaches to AI development and regulation as we analyze the capacity of the US and EU to establish international standards for AI regulation through channels such as the TTC. As the EU rolled out a proportionate and risk-based approach to ensure stricter regulation for high-risk AI technologies, it laid the foundation …

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Bounded Confidence: How Ai Could Exacerbate Social Media’S Homophily Problem, Dylan Weber, Scott Atran, Rich Davis Oct 2022

Bounded Confidence: How Ai Could Exacerbate Social Media’S Homophily Problem, Dylan Weber, Scott Atran, Rich Davis

New England Journal of Public Policy

The advent of the Internet was heralded as a revolutionary development in the democratization of information. It has emerged, however, that online discourse on social media tends to narrow the information landscape of its users. This dynamic is driven by the propensity of the network structure of social media to tend toward homophily; users strongly prefer to interact with content and other users that are similar to them. We review the considerable evidence for the ubiquity of homophily in social media, discuss some possible mechanisms for this phenomenon, and present some observed and hypothesized effects. We also discuss how the …

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Artificial Intelligence And The Situational Rationality Of Diagnosis: Human Problem-Solving And The Artifacts Of Health And Medicine, Michael W. Raphael Oct 2022

Artificial Intelligence And The Situational Rationality Of Diagnosis: Human Problem-Solving And The Artifacts Of Health And Medicine, Michael W. Raphael

Publications and Research

What is the problem-solving capacity of artificial intelligence (AI) for health and medicine? This paper draws out the cognitive sociological context of diagnostic problem-solving for medical sociology regarding the limits of automation for decision-based medical tasks. Specifically, it presents a practical way of evaluating the artificiality of symptoms and signs in medical encounters, with an emphasis on the visualization of the problem-solving process in doctor-patient relationships. In doing so, the paper details the logical differences underlying diagnostic task performance between man and machine problem-solving: its principle of rationality, the priorities of its means of adaptation to abstraction, and the effects …

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Conflict, Technology, And Integrative Thinking: The Past And Future Of Geopolitical Conflict, Paul L. Johnson Oct 2022

Conflict, Technology, And Integrative Thinking: The Past And Future Of Geopolitical Conflict, Paul L. Johnson

IPS/BAS 495 Undergraduate Capstone Projects

Conflict is constantly evolving, and it is evolving even faster now that the world finds itself in an age where information travels at the speed of light. Scholars of military doctrine and generational warfare are currently pondering the effects of cyber warfare on the already hectic and confusing fourth generation battlespace. Invariably, generals, pundits and politicians alike in countries across the world vie to acquire these “capabilities” for their benefit and the benefit of their nation. The last time a cutting-edge advance in kinetic weaponry was made in the form of the atomic bomb, hundreds of thousands of civilian lives …

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Content Moderation As Surveillance, Hannah Bloch-Wehba Oct 2022

Content Moderation As Surveillance, Hannah Bloch-Wehba

Faculty Scholarship

Technology platforms are the new governments, and content moderation is the new law, or so goes a common refrain. As platforms increasingly turn toward new, automated mechanisms of enforcing their rules, the apparent power of the private sector seems only to grow. Yet beneath the surface lies a web of complex relationships between public and private authorities that call into question whether platforms truly possess such unilateral power. Law enforcement and police are exerting influence over platform content rules, giving governments a louder voice in supposedly “private” decisions. At the same time, law enforcement avails itself of the affordances of …

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Multi-Functional Job Roles To Support Operations In A Multi-Faceted Jewel Enabled By Ai And Digital Transformation, Steven M. Miller Oct 2022

Multi-Functional Job Roles To Support Operations In A Multi-Faceted Jewel Enabled By Ai And Digital Transformation, Steven M. Miller

Research Collection School Of Computing and Information Systems

In this story, we highlight the way in which the use of AI enabled support systems, together with work process digital transformation and innovative approaches to job redesign, have combined to dramatically change the nature of the work of the front-line service staff who protect and support the facility and visitors at the world’s most iconic airport mall and lifestyle destination.

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Ethics And Governance Of General Models: Challenges And Countermeasures, Yan Teng, Guoyu Wang, Yingchun Wang Sep 2022

Ethics And Governance Of General Models: Challenges And Countermeasures, Yan Teng, Guoyu Wang, Yingchun Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, the general model is one of the most important development trends of artificial intelligence. With the rapidly increasing research and deployment of general models, the social and ethical effects of general models have received extensive attention. Grounded in the characteristics of general models, this article analyzes the potential ethical challenges of the models at three levels:algorithm, data, and computing power. The detailed challenges include uncertainty, truthfulness, reliability, bias, toxicity, fairness, privacy, and environmental issues. Also, through the lens of philosophy of technology, it elaborates the important reasons for the ethical challenges:the "mirroring" effect and transparency problem caused …

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Singapore Public Sector Ai Applications Emphasizing Public Engagement: Six Examples, Steven M. Miller Sep 2022

Singapore Public Sector Ai Applications Emphasizing Public Engagement: Six Examples, Steven M. Miller

Research Collection School Of Computing and Information Systems

This article provides an overview of six examples of public sector AI applications in Singapore that illustrate different ways of enhancing engagement with the public. These applications demonstrate ways of enhancing engagement with the public by providing greater accessibility to government services (access anywhere, anytime) and speedier responses to public processes and feedback. Some applications make it substantially easier for members of the public to do things or make choices, while others reduce waiting time, either across an entire public infrastructure, or for an individual transaction. Some provide highly individualized coaching to guide a person through the process of doing …

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Emotion Detection Using An Ensemble Model Trained With Physiological Signals And Inferred Arousal-Valence States, Matthew Nathanael Gray Aug 2022

Emotion Detection Using An Ensemble Model Trained With Physiological Signals And Inferred Arousal-Valence States, Matthew Nathanael Gray

Electrical & Computer Engineering Theses & Dissertations

Affective computing is an exciting and transformative field that is gaining in popularity among psychologists, statisticians, and computer scientists. The ability of a machine to infer human emotion and mood, i.e. affective states, has the potential to greatly improve human-machine interaction in our increasingly digital world. In this work, an ensemble model methodology for detecting human emotions across multiple subjects is outlined. The Continuously Annotated Signals of Emotion (CASE) dataset, which is a dataset of physiological signals labeled with discrete emotions from video stimuli as well as subject-reported continuous emotions, arousal and valence, from the circumplex model, is used for …

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Ai: Capturing Core Processes In The Us-China Hegemonic Cycle, Connor Murphy Aug 2022

Ai: Capturing Core Processes In The Us-China Hegemonic Cycle, Connor Murphy

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

World systems analysis is a historically based framework that makes looking at the world easier with trends and patterns. Using this framework and the concepts inside of it, the reader will be able to see the potential that artificial intelligence has in regard to the social, political and economic changes that will come about in the United States and China from the adoption of this technology.

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Proactive Union And Teacher Strategies For Shaping Technology In Education, Thomas A. Kochan Jul 2022

Proactive Union And Teacher Strategies For Shaping Technology In Education, Thomas A. Kochan

New England Journal of Public Policy

Artificial intelligence and related technologies will have profound effects on the future of work in all industries and occupations, including education. But technology has no predetermined effects. How it will change work, working conditions, and the performance of organizations depends on who participates in the key decisions that (1) define the problems technology is asked to solve, (2) set the design parameters that shape specific applications, (3) link new technologies and work processes, (4) ensure that the workforce is well-prepared to use advanced technologies, (5) determine who controls the data generated by these tools, and (6) address the needs of …

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A.I.’S Impact On Jobs, Skills, And The Future Of Work: The Unesco Perspective On Key Policy Issues And The Ethical Debate, Gabriela Ramos Jul 2022

A.I.’S Impact On Jobs, Skills, And The Future Of Work: The Unesco Perspective On Key Policy Issues And The Ethical Debate, Gabriela Ramos

New England Journal of Public Policy

This article discusses how the principles, values, and actionable policy areas detailed in the UNESCO Recommendation on the Ethics of AI can help steer the impact of artificial intelligence (AI) on jobs, skills, and the future of work in an inclusive, accountable, transparent, and people-centered way, and in line with the rule of law. It also discusses the provisions contained in this normative instrument compared with existing evidence on the cognitive and socioemotional skills required in the digital era, and the way AI is shaping job tasks, employment dynamics, and occupational mobility-related needs. It examines the challenges and possibilities related …

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Smart Education Technology: How It Might Transform Teaching (And Learning), Stéphan Vincent-Lancrin Jul 2022

Smart Education Technology: How It Might Transform Teaching (And Learning), Stéphan Vincent-Lancrin

New England Journal of Public Policy

This article highlights the importance of digitalization as a societal trend for education and discusses how artificial intelligence and learning analytics are transforming (or have the potential to transform) educational practices. It showcases the opportunities of smart technologies for education systems and how the work and role of teachers could be affected, before making some forward-looking concluding remarks.

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Entering Dystopia: Should Your Face Be The Key To Your Fate?, Shilpa Madan, Krishna Savani, Gita V. Johar Jul 2022

Entering Dystopia: Should Your Face Be The Key To Your Fate?, Shilpa Madan, Krishna Savani, Gita V. Johar

Research Collection Lee Kong Chian School Of Business

How would you feel if you were rejected from a job because you didn't look competent enough? Or if you were apprehended at a public place by the police because you looked like a criminal? Although these scenes sound dystopic and generate a sense of fear and anxiety, technology that claims that people's traits can be inferred from their faces already exists and is being used by businesses and governments worldwide.

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Reinforcement In The Information Revolution, Phillip M. Baker Jun 2022

Reinforcement In The Information Revolution, Phillip M. Baker

SPU Works

This chapter will outline what it means to be a behaving human and how AI makes sense of these concepts. It will then explore possible near-future implications of our remarkable progress in understanding how human behavior works with the assistance of AI from a neurobiological basis. A focus on understanding the reinforcement mechanisms of the brain will reveal the consequences of ceding control of so much of our brain-environment interactions to AI. It will conclude by offering a potential Christian response to this digital reality from a uniquely Anabaptist perspective.

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2022 Top Trends In Academic Libraries, Alex D. Mcallister, Michael Flierl, Thomas R. Caswell, Laura Costello, Anita R. Hall, Cindy Li, Monica Maher, Mary Piorun, Patrice-Andre Prud’Homme, Brian D. Quigley, Gregory Walker Jun 2022

2022 Top Trends In Academic Libraries, Alex D. Mcallister, Michael Flierl, Thomas R. Caswell, Laura Costello, Anita R. Hall, Cindy Li, Monica Maher, Mary Piorun, Patrice-Andre Prud’Homme, Brian D. Quigley, Gregory Walker

Library Faculty Presentations & Publications

This article summarizes trending topics in academic librarianship from the past two years–a time of tremendous upheaval and change, including a global pandemic, difficult reflections concerning racial justice, and war between nation states. Rapid changes and uncertainty from these events have created a significant amount of shifts to academic libraries, higher education, and society in general. Such shifts have yielded new perspectives and innovations in how librarians approach delivering services, supporting student success, managing staff and physical spaces, embracing new technology, and managing data. This report attempts to provide a snapshot of developments worth noting.

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The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans Jun 2022

The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans

Faculty Scholarship

Artificial intelligence (“AI”)-enabled products are expected to drive economic growth. Training data are important for firms developing AI-enabled products; without training data, firms cannot develop or refine their algorithms. This is particularly the case for AI startups developing new algorithms and products. However, there is no consensus in the literature on which aspects of training data are most important. Using unique survey data of AI startups, we find that startups with access to proprietary training data are more likely to acquire venture capital funding.

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Ai And Ambitious Learning Practices, Cindy E. Hmelo-Silver, Sadhana Puntambekar, Krista Glazewski, Luettamae Lawrence, Nikol Rummel, Vincent Aleven, Gautam Biswas, Suraj Uttamchandani, Asmalina Saleh, Haesol Bae, Thomas Brush, Bradford Mott, James Lester, William Goss, Dana Gnesdilow, Rebecca Passonneau, Purushartha Singh, Chanmin Kim, Marcelo Worsley Jun 2022

Ai And Ambitious Learning Practices, Cindy E. Hmelo-Silver, Sadhana Puntambekar, Krista Glazewski, Luettamae Lawrence, Nikol Rummel, Vincent Aleven, Gautam Biswas, Suraj Uttamchandani, Asmalina Saleh, Haesol Bae, Thomas Brush, Bradford Mott, James Lester, William Goss, Dana Gnesdilow, Rebecca Passonneau, Purushartha Singh, Chanmin Kim, Marcelo Worsley

Instructional Technology and Learning Sciences Faculty Publications

This symposium will provide opportunities for discussion about how Artificial Intelligence can support ambitious learning practices in CSCL. To the extent that CSCL can be a lever for educational equitable educational change, AI needs to be able to support the kinds of practices that afford agency to students and teachers. However, AI also brings to the fore the need to consider equity and ethics. This interactive session will provide opportunities to discuss these issues in the context of the examples presented here.

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Integrating Cultural Knowledge Into Artificially Intelligent Systems: Human Experiments And Computational Implementations, Anurag Acharya May 2022

Integrating Cultural Knowledge Into Artificially Intelligent Systems: Human Experiments And Computational Implementations, Anurag Acharya

FIU Electronic Theses and Dissertations

With the advancement of Artificial Intelligence, it seems as if every aspect of our lives is impacted by AI in one way or the other. As AI is used for everything from driving vehicles to criminal justice, it becomes crucial that it overcome any biases that might hinder its fair application. We are constantly trying to make AI be more like humans. But most AI systems so far fail to address one of the main aspects of humanity: our culture and the differences between cultures. We cannot truly consider AI to have understood human reasoning without understanding culture. So it …

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Putin’S Invasion Of Ukraine In 2022: Implications For Strategic Studies, Antulio J. Echevarria Ii May 2022

Putin’S Invasion Of Ukraine In 2022: Implications For Strategic Studies, Antulio J. Echevarria Ii

The US Army War College Quarterly: Parameters

This special commentary examines critical issues for the field of strategic studies raised by Russia’s invasion of Ukraine, including the waning of major war, strategic coercion, and “War Amongst the People.” Drawing on previous scholarship and current events, this commentary considers the questions raised by the first major war of the twenty-first century. It provides recommendations for scholars and senior leaders on how to work together to address the questions of strategy and policy that have and continue to arise as the war progresses.

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The Symptom Of Ethics: Rethinking Ethics In The Face Of The Machine, David J. Gunkel Apr 2022

The Symptom Of Ethics: Rethinking Ethics In The Face Of The Machine, David J. Gunkel

Human-Machine Communication

This essay argues that it is the machine that constitutes the symptom of ethics— “symptom” understood as that excluded “part that has no part” in the system of moral consideration. Ethics, which has been historically organized around a human or at least biological subject, needs the machine to define the proper limits of the moral community even if it simultaneously excludes such mechanisms from any serious claim on moral consideration. The argument will proceed in five steps or movements. The first part will define and characterize “the symptom” as it has been operationalized in the work of Slovenian philosopher Slavoj …

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Moving Toward Personalized Law, Cary Coglianese Mar 2022

Moving Toward Personalized Law, Cary Coglianese

All Faculty Scholarship

Rules operate as a tool of governance by making generalizations, thereby cutting down on government officials’ need to make individual determinations. But because they are generalizations, rules can result in inefficient or perverse outcomes due to their over- and under-inclusiveness. With the aid of advances in machine-learning algorithms, however, it is becoming increasingly possible to imagine governments shifting away from a predominant reliance on general rules and instead moving toward increased reliance on precise individual determinations—or on “personalized law,” to use the term Omri Ben-Shahar and Ariel Porat use in the title of their 2021 book. Among the various technological, …

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Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank Mar 2022

Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank

Psychological Science Faculty Research & Creative Works

Artificial agents such as robots, chatbots, and artificial intelligence systems can be the perpetrators of a range of moral violations traditionally limited to human actors. This paper explores how people perceive the same moral violations differently for artificial agent and human perpetrators by addressing three research questions: How wrong are moral foundation violations by artificial agents compared to human perpetrators? Which moral foundations do artificial agents violate compared to human perpetrators? What leads to increased blame for moral foundation violations by artificial agents compared to human perpetrators? We adapt 18 human-perpetrated moral violation scenarios that differ by the moral foundation …

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Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank Mar 2022

Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank

Psychological Science Faculty Research & Creative Works

Artificial agents such as robots, chatbots, and artificial intelligence systems can be the perpetrators of a range of moral violations traditionally limited to human actors. This paper explores how people perceive the same moral violations differently for artificial agent and human perpetrators by addressing three research questions: How wrong are moral foundation violations by artificial agents compared to human perpetrators? Which moral foundations do artificial agents violate compared to human perpetrators? What leads to increased blame for moral foundation violations by artificial agents compared to human perpetrators? We adapt 18 human-perpetrated moral violation scenarios that differ by the moral foundation …

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Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans Mar 2022

Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans

Faculty Scholarship

Artificial Intelligence startups use training data as direct inputs in product development. These firms must balance numerous trade-offs between ethical issues and data access without substantive guidance from regulators or existing judicial precedence. We survey these startups to determine what actions they have taken to address these ethical issues and the consequences of those actions. We find that 58% of these startups have established a set of AI principles. Startups with data-sharing relationships with high-technology firms; that were impacted by privacy regulations; or with prior (non-seed) funding from institutional investors are more likely to establish ethical AI principles. Lastly, startups …

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Congestion Costs And Scheduling Preferences Of Car Commuters In California: Estimates Using Big Data, Jinwon Kim, Jucheol Moon Mar 2022

Congestion Costs And Scheduling Preferences Of Car Commuters In California: Estimates Using Big Data, Jinwon Kim, Jucheol Moon

Mineta Transportation Institute

On average, California car commuters waste 4–5 minutes per morning commute due to congestion. Multiplied across all California car commuters, those few minutes entail a yearly total of approximately 2.3 billion hours of time wasted, costing 6 billion dollars. The objective of this study is to quantify congestion costs and determine how commuters adapt to the level of congestion they face (i.e., commuters’ scheduling utility functions). To that end, this research developed a model of trip scheduling under congestion to construct California commuters’ travel-time profiles, i.e., the menu of travel times that each individual would likely face according to alternate …

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Artificial Intelligence In Libraries, Sandra Shoufani Jan 2022

Artificial Intelligence In Libraries, Sandra Shoufani

Publications and Scholarship

This is the second of two reports written for Sheridan Library management that explore technologies in support of advanced computing within libraries. It provides an overview of artificial intelligence technology, presents current use-cases in post-secondary education and libraries, and explores opportunities for adoption, partnerships and library-adjacent uses of AI by academic libraries.

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Generalizing Frameworks For Sentience Beyond Natural Species, Michael Levin Jan 2022

Generalizing Frameworks For Sentience Beyond Natural Species, Michael Levin

Animal Sentience

Crump et al. (2022) offer a well-argued example of an essential development: a rigorous framework for assessing sentience from the perspective of moral concern over an agent’s welfare. Current and forthcoming developments in bioengineering, synthetic morphology, artificial intelligence, biorobotics, and exobiology necessitate an expansion and generalization of this effort. Verbal reports (the Turing Test) and homology to human brains are utterly inadequate criteria for assessing the status of novel, unconventional agents that offer no familiar touchstone of phylogeny or anatomy. We must develop principled approaches to evaluating the sentience of (and thus, our responsibility to) beings of unfamiliar provenance and …

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Algorithm Vs. Algorithm, Cary Coglianese, Alicia Lai Jan 2022

Algorithm Vs. Algorithm, Cary Coglianese, Alicia Lai

All Faculty Scholarship

Critics raise alarm bells about governmental use of digital algorithms, charging that they are too complex, inscrutable, and prone to bias. A realistic assessment of digital algorithms, though, must acknowledge that government is already driven by algorithms of arguably greater complexity and potential for abuse: the algorithms implicit in human decision-making. The human brain operates algorithmically through complex neural networks. And when humans make collective decisions, they operate via algorithms too—those reflected in legislative, judicial, and administrative processes. Yet these human algorithms undeniably fail and are far from transparent. On an individual level, human decision-making suffers from memory limitations, fatigue, …

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