Todd Davies

“Violence” and “nonviolence” are, increasingly, misleading translations for the Sanskrit words hiṃsā and ahiṃsā—used by Gandhi as the basis for his philosophy of satyāgraha. I argue for rereading hiṃsā as “maleficence” and ahiṃsā as “beneficence.” These two more mind-referring English words capture the primacy of intention implied by Gandhi’s core principles. Reflecting a political turn in moral accountability detectable through linguistic data, both the scope and the usage of the word “violence” have expanded dramatically, making it harder to convincingly characterize people and actions as “nonviolent.” New terminology could clarify the distinction between hiṃsā and ahiṃsā, and, thereby, prevent misunderstandings of Gandhi. Training in beneficence would reflect Gandhi’s psychological path to reducing avoidable harm: ego-detachment, universal love, and seeking truth by experiment. NOTE: An extended, unpublished version, with additional arguments and evidence, is also available on PhilPapers as "The Primacy of Intention and the Duty to Truth: A Gandhi-Inspired Argument for Retranslating Hiṃsā and Ahiṃsā, with Connections to History, Ethics, and Civil Resistance".

The words "violence" and "nonviolence" are increasingly misleading translations for the Sanskrit words hiṃsā and ahiṃsā -- which were used by Gandhi as the basis for his philosophy of satyāgraha. I argue for re-reading hiṃsā as “maleficence” and ahiṃsā as “beneficence.” These two more mind-referring English words – associated with religiously contextualized discourse of the past -- capture the primacy of intention implied by Gandhi’s core principles, better than “violence” and “nonviolence” do. Reflecting a political turn in moral accountability detectable through linguistic data, both the scope and the usage of the word “violence” have expanded dramatically. The expanded scope of “violence” reflects greater consciousness of the various forms that serious harm can take, but also makes it harder to convincingly characterize people and actions as “nonviolent.” New translations could clarify the distinction between hiṃsā and ahiṃsā, and thereby prevent some misunderstandings of Gandhi. Training in beneficence would reflect Gandhi’s psychological path to reducing avoidable harm: detachment from the ego, learning to love universally, and seeking truth by experiment.

Online deliberation is one important instance of civic tech that is both for and by the citizens, through engaging citizens in Internet-supported deliberative discussions on public issues. This article explains the origins of a set of symposium articles in this journal issue based on the 2017 'International Conference on Deliberation and Decision Making: Interdisciplinary Perspectives on Civic Tech' held in Singapore. Symposium articles are presented in a sequence that flows from designing decision making systems to platforms to specific technological nudges.

Although successive generations of digital technology have become increasingly powerful in the past 20 years, digital democracy has yet to realize its potential for deliberative transformation. The undemocratic exploitation of massive social media systems continued this trend, but it only worsened an existing problem of modern democracies, which were already struggling to develop deliberative infrastructure independent of digital technologies. There have been many creative conceptions of civic tech, but implementation has lagged behind innovation. This article argues for implementing one such vision of digital democracy through the establishment of a public corporation. Modeled on the Corporation for Public Broadcasting in the United States, this entity would foster the creation of new digital technology by providing a stable source of funding to nonprofit technologists, interest groups, civic organizations, government, researchers, private companies, and the public. Funded entities would produce and maintain software infrastructure for public benefit. The concluding sections identify what circumstances might create and sustain such an entity.

Coordination is a key problem for addressing goal–action gaps in many human endeavors. We define interpersonal coordination as a type of communicative action characterized by low interpersonal belief and goal conflict. Such situations are particularly well described as having collectively “intelligent”, “common good” solutions, viz., ones that almost everyone would agree constitute social improvements. Coordination is useful across the spectrum of interpersonal communication—from isolated individuals to organizational teams. Much attention has been paid to coordination in teams and organizations. In this paper we focus on the looser interpersonal structures we call active support networks, and on technology that meets their needs. We describe two needfinding investigations focused on social support, which examined four application areas for improving coordination in ASNs: academic coaching, vocational training, early learning intervention, and volunteer coordination; and existing technology relevant to ASNs. We find a thus-far unmet need for personal task management software that allows smooth integration with an individual’s active support network. Based on identified needs, we then describe an open architecture for coordination that has been developed into working software. The design includes a set of capabilities we call “social prompting”, as well as templates for accomplishing multi-task goals, and an engine that controls coordination in the network. The resulting tool is currently available and in continuing development. We explain its use in ASNs with an example. Follow-up studies are underway in which the technology is being applied in existing support networks.

Перевод статьи: Davies T., Chandler R. Online deliberation design: Choices, criteria, and evidence // Democracy in motion: Evaluating the practice and impact of deliberative civic engagement / Nabatchi T., Weiksner M., Gastil J., Leighninger M. (eds.). -- Oxford: Oxford univ. press, 2013. -- P. 103-131. А. Кулик. Вниманию читателей предлагается обзор эмпирических исследований в области дизайна онлайн-форумов, предназначенных для вовлечения граждан в делиберацию. Размерности дизайна определены для различных характеристик делиберации: назначения, целевой аудитории, разобщенности участников в пространстве и во времени, среды коммуникации и организации делиберативного процесса. После краткого обзора критериев оценки вариантов дизайна рассматриваются эмпирические данные, соотносящиеся с каждым из вариантов. Эффективность онлайн-делиберации зависит от того, насколько условия коммуникации соотносятся с заданиями делиберации. Компромиссы, как, например, между анонимным или идентифицируемым участием, предполагают различные дизайны в зависимости от цели делиберации и состава участников. Выводы исследования получены на материале существующих технологий и могут измениться по мере коэволюции технологий и пользователей.

This chapter reviews empirical evidence bearing on the design of online forums for deliberative civic engagement. Dimensions of design are defined for different aspects of the deliberation: its purpose, the target population, the spatiotemporal distance separating participants, the communication medium, and the deliberative process to be followed. After a brief overview of criteria for evaluating different design options, empirical findings are organized around design choices. Research has evolved away from treating technology for online deliberation dichotomously (either present or not) toward nuanced findings that differentiate between technological features, ways of using them, and cultural settings. The effectiveness of online deliberation depends on how well the communicative environment is matched to the deliberative task. Tradeoffs, e.g. between rich and lean media and between anonymous and identifiable participation, suggest different designs depending on the purpose and participants. Findings are limited by existing technologies, and may change as technologies and users co-evolve.

We analyze the logical form of the domain knowledge that grounds analogical inferences and generalizations from a single instance. The form of the assumptions which justify analogies is given schematically as the "determination rule", so called because it expresses the relation of one set of variables determining the values of another set. The determination relation is a logical generalization of the different types of dependency relations defined in database theory. Specifically, we define determination as a relation between schemata of first order logic that have two kinds of free variables: (1) object variables and (2) what we call "polar" variables, which hold the place of truth values. Determination rules facilitate sound rule inference and valid conclusions projected by analogy from single instances, without implying what the conclusion should be prior to an inspection of the instance. They also provide a way to specify what information is sufficiently relevant to decide a question, prior to knowledge of the answer to the question.

Can new technology enhance purpose-driven, democratic dialogue in groups, governments, and societies? Online Deliberation: Design, Research, and Practice is the first book that attempts to sample the full range of work on online deliberation, forging new connections between academic research, technology designers, and practitioners. Since some of the most exciting innovations have occurred outside of traditional institutions, and those involved have often worked in relative isolation from each other, work in this growing field has often failed to reflect the full set of perspectives on online deliberation. This volume is aimed at those working at the crossroads of information/communication technology and social science, and documents early findings in, and perspectives on, this new field by many of its pioneers. CONTENTS: Introduction: The Blossoming Field of Online Deliberation (Todd Davies, pp. 1-19) Part I - Prospects for Online Civic Engagement Chapter 1: Virtual Public Consultation: Prospects for Internet Deliberative Democracy (James S. Fishkin, pp. 23-35) Chapter 2: Citizens Deliberating Online: Theory and Some Evidence (Vincent Price, pp. 37-58) Chapter 3: Can Online Deliberation Improve Politics? Scientific Foundations for Success (Arthur Lupia, pp. 59-69) Chapter 4: Deliberative Democracy, Online Discussion, and Project PICOLA (Public Informed Citizen Online Assembly) (Robert Cavalier with Miso Kim and Zachary Sam Zaiss, pp. 71-79) Part II - Online Dialogue in the Wild Chapter 5: Friends, Foes, and Fringe: Norms and Structure in Political Discussion Networks (John Kelly, Danyel Fisher, and Marc Smith, pp. 83-93) Chapter 6: Searching the Net for Differences of Opinion (Warren Sack, John Kelly, and Michael Dale, pp. 95-104) Chapter 7: Happy Accidents: Deliberation and Online Exposure to Opposing Views (Azi Lev-On and Bernard Manin, pp. 105-122) Chapter 8: Rethinking Local Conversations on the Web (Sameer Ahuja, Manuel Pérez-Quiñones, and Andrea Kavanaugh, pp. 123-129) Part III - Online Public Consultation Chapter 9: Deliberation in E-Rulemaking? The Problem of Mass Participation (David Schlosberg, Steve Zavestoski, and Stuart Shulman, pp. 133-148) Chapter 10: Turning GOLD into EPG: Lessons from Low-Tech Democratic Experimentalism for Electronic Rulemaking and Other Ventures in Cyberdemocracy (Peter M. Shane, pp. 149-162) Chapter 11: Baudrillard and the Virtual Cow: Simulation Games and Citizen Participation (Hélène Michel and Dominique Kreziak, pp. 163-166) Chapter 12: Using Web-Based Group Support Systems to Enhance Procedural Fairness in Administrative Decision Making in South Africa (Hossana Twinomurinzi and Jackie Phahlamohlaka, pp. 167-169) Chapter 13: Citizen Participation Is Critical: An Example from Sweden (Tomas Ohlin, pp. 171-173) Part IV - Online Deliberation in Organizations Chapter 14: Online Deliberation in the Government of Canada: Organizing the Back Office (Elisabeth Richard, pp. 177-191) Chapter 15: Political Action and Organization Building: An Internet-Based Engagement Model (Mark Cooper, pp. 193-202) Chapter 16: Wiki Collaboration Within Political Parties: Benefits and Challenges (Kate Raynes-Goldie and David Fono, pp. 203-205) Chapter 17: Debian’s Democracy (Gunnar Ristroph, pp. 207-211) Chapter 18: Software Support for Face-to-Face Parliamentary Procedure (Dana Dahlstrom and Bayle Shanks, pp. 213-220) Part V - Online Facilitation Chapter 19: Deliberation on the Net: Lessons from a Field Experiment (June Woong Rhee and Eun-mee Kim, pp. 223-232) Chapter 20: The Role of the Moderator: Problems and Possibilities for Government-Run Online Discussion Forums (Scott Wright, pp. 233-242) Chapter 21: Silencing the Clatter: Removing Anonymity from a Corporate Online Community (Gilly Leshed, pp. 243-251) Chapter 22: Facilitation and Inclusive Deliberation (Matthias Trénel, pp. 253-257) Chapter 23: Rethinking the ‘Informed’ Participant: Precautions and Recommendations for the Design of Online Deliberation (Kevin S. Ramsey and Matthew W. Wilson, pp. 259-267) Chapter 24: PerlNomic: Rule Making and Enforcement in Digital Shared Spaces (Mark E. Phair and Adam Bliss, pp. 269-271) Part VI - Design of Deliberation Tools Chapter 25: An Online Environment for Democratic Deliberation: Motivations, Principles, and Design (Todd Davies, Brendan O’Connor, Alex Cochran, Jonathan J. Effrat, Andrew Parker, Benjamin Newman, and Aaron Tam, pp. 275-292) Chapter 26: Online Civic Deliberation with E-Liberate (Douglas Schuler, pp. 293-302) Chapter 27: Parliament: A Module for Parliamentary Procedure Software (Bayle Shanks and Dana Dahlstrom, pp. 303-307) Chapter 28: Decision Structure: A New Approach to Three Problems in Deliberation (Raymond J. Pingree, pp. 309-316) Chapter 29: Design Requirements of Argument Mapping Software for Teaching Deliberation (Matthew W. Easterday, Jordan S. Kanarek, and Maralee Harrell, pp. 317-323) Chapter 30: Email-Embedded Voting with eVote/Clerk (Marilyn Davis, pp. 325-327) Epilogue: Understanding Diversity in the Field of Online Deliberation (Seeta Peña Gangadharan, pp. 329-358). For individual chapter downloads, go to odbook.stanford.edu.

Interest has been revived in the creation of a "bill of rights" for Internet users. This paper analyzes users' rights into ten broad principles, as a basis for assessing what users regard as important and for comparing different multi-issue Internet policy proposals. Stability of the principles is demonstrated in an experimental survey, which also shows that freedoms of users to participate in the design and coding of platforms appear to be viewed as inessential relative to other rights. An analysis of users' rights frameworks that have emerged over the past twenty years similarly shows that such proposals tend to leave out freedoms related to software platforms, as opposed to user data or public networks. Evaluating policy frameworks in a comparative analysis based on prior principles may help people to see what is missing and what is important as the future of the Internet continues to be debated.

In the TACITUS project for using commonsense knowledge in the understanding of texts about mechanical devices and their failures, we have been developing various commonsense theories that are needed to mediate between the way we talk about the behavior of such devices and causal models of their operation. Of central importance in this effort is the axiomatization of what might be called commonsense metaphysics. This includes a number of areas that figure in virtually every domain of discourse, such as granularity, scales, time, space, material, physical objects, shape, causality, functionality, and force. Our effort has been to construct core theories of each of these areas, and then to define, or at least characterize, a large number of lexical items in terms provided by the core theories. In this paper we discuss our methodological principles and describe the key ideas in the various domains we are investigating.

This essay (a revised version of my undergraduate honors thesis at Stanford) constructs a theory of analogy as it applies to argumentation and reasoning, especially as used in fields such as philosophy and law. The word analogy has been used in different senses, which the essay defines. The theory developed herein applies to analogia rationis, or analogical reasoning. Building on the framework of situation theory, a type of logical relation called determination is defined. This determination relation solves a puzzle about analogy in the context of logical argument, namely, whether an analogous situation contributes anything logically over and above what could be inferred from the application of prior knowledge to a present situation. Scholars of reasoning have often claimed that analogical arguments are never logically valid, and that they therefore lack cogency. However, when the right type of determination structure exists, it is possible to prove that projecting a conclusion inferred by analogy onto the situation about which one is reasoning is both valid and non-redundant. Various other properties and consequences of the determination relation are also proven. Some analogical arguments are based on principles such as similarity, which are not logically valid. The theory therefore provides us with a way to distinguish between legitimate and illegitimate arguments. It also provides an alternative to procedures based on the assessment of similarity for constructing analogies in artificial intelligence systems.

We describe and try to motivate our project to build systems using both a knowledge based and a neural network approach. These two approaches are used at different stages in the solution of a problem, instead of using knowledge bases exclusively on some problems, and neural nets exclusively on others. The knowledge base (KB) is defined first in a declarative, symbolic language that is easy to use. It is then compiled into an efficient neural network (NN) representation, run, and the results from run time and (eventually) from learning are decompiled to a symbolic description of the knowledge contained in the network. After inspecting this recovered knowledge, a designer would be able to modify the KB and go through the whole cycle of compiling, running, and decompiling again. The central question with which this project is concerned is, therefore, How do we go from a KB to an NN, and back again? We are investigating this question by building tools consisting of a repertoire of language/translation/network types, and trying them on problems in a variety of domains.

This paper defines the form of prior knowledge that is required for sound inferences by analogy and single-instance generalizations, in both logical and probabilistic reasoning. In the logical case, the first order determination rule defined in Davies (1985) is shown to solve both the justification and non-redundancy problems for analogical inference. The statistical analogue of determination that is put forward is termed 'uniformity'. Based on the semantics of determination and uniformity, a third notion of "relevance" is defined, both logically and probabilistically. The statistical relevance of one function in determining another is put forward as a way of defining the value of information: The statistical relevance of a function F to a function G is the absolute value of the change in one's information about the value of G afforded by specifying the value of F. This theory provides normative justifications for conclusions projected by analogy from one case to another, and for generalization from an instance to a rule. The soundness of such conclusions, in either the logical or the probabilistic case, can be identified with the extent to which the corresponding criteria (determination and uniformity) actually hold for the features being related.

This paper argues that private property and rights assignment, especially as applied to communication infrastructure and information, should be informed by advances in both technology and our understanding of psychology. Current law in this area in the United States and many other jurisdictions is founded on assumptions about human behavior that have been shown not to hold empirically. A joint recognition of this fact, together with an understanding of what new technologies make possible, leads one to question basic assumptions about how law is made and what laws we should have in a given area, if any. I begin by analyzing different aspects of U.S. law, from a high-level critique of law making to a critique of rights assignment for what I call 'simple nonrival goods.' I describe my understanding, as a non-lawyer with a background in psychology and computing, of the current conventions in U.S. law, consider the foundational assumptions that justify current conventions, describe advances in psychology and technology that call these conventions into question, and briefly note how the law might normatively change in this light. I then apply this general analysis to the question of domain name assignment by the Internet Corporation for Assigned Names and Numbers (ICANN).

This is a review of Susan Greenfield's 2015 book 'Mind Change: How Digital Technologies Are Leaving Their Mark On Our Brains'. Greenfield is a neuroscientist and a member of the UK House of Lords, who argues that digital technologies are changing the human environment "in an unprecedented way," and that by adapting to this environment, "the brain may also be changing in an unprecedented way." The book and its author have created a surprising amount of controversy. I discuss both Greenfield's book and a prominent critique by Bell et al. (2015). The exchange points to some flaws in Greenfield's argument and represents an interesting debate about the public role of scientists, but it does not undermine the value of the book as a springboard for discussions about possible policies and future research.