The Ethics of Social Information Retrieval

2011 ◽  
pp. 179-188
Author(s):  
Brendan Luyt ◽  
Chu Keong Lee
Keyword(s):  
Information Retrieval ◽  
Social Networking ◽  
Ethical Issues ◽  
Social Information ◽  
Democratic Society ◽  
Technological Systems ◽  
Social Diversity ◽  
Technological Design ◽  
The Social ◽  
Social And Ethical Issues

In this chapter we discuss some of the social and ethical issues associated with social information retrieval. Using the work of Habermas we argue that social networking is likely to exacerbate already disturbing trends towards the fragmentation of society and a corresponding decline reduction in social diversity. Such a situation is not conducive to developing a healthy, democratic society. Following the tradition of critical theorists of technology, we conclude with a call for responsible and aware technological design with more attention paid to the values embedded in new technological systems.

scholarly journals Social Information Retrieval and Recommendation: state- of-the-art and future research

2019 ◽  
Vol Volume 27 - 2017 - Special... ◽  
Author(s):  
Abir Gorrab ◽  
Ferihane Kboubi ◽  
Henda Ghézala
Keyword(s):  
Information Retrieval ◽  
Web 2.0 ◽  
Social Information ◽  
User Profile ◽  
Critical Discussion ◽  
Social Dimension ◽  
Future Research ◽  
Social Recommendation ◽  
The Social ◽  
Source Of Information

The explosion of web 2.0 and social networks has created an enormous and rewarding source of information that has motivated researchers in different fields to exploit it. Our work revolves around the issue of access and identification of social information and their use in building a user profile enriched with a social dimension, and operating in a process of personalization and recommendation. We study several approaches of Social IR (Information Retrieval), distinguished by the type of incorporated social information. We also study various social recommendation approaches classified by the type of recommendation. We then present a study of techniques for modeling the social user profile dimension, followed by a critical discussion. Thus, we propose our social recommendation approach integrating an advanced social user profile model. L’explosion du web 2.0 et des réseaux sociaux a crée une source d’information énorme et enrichissante qui a motivé les chercheurs dans différents domaines à l’exploiter. Notre travail s’articule autour de la problématique d’accès et d’identification des informations sociales et leur exploitation dans la construction d’un profil utilisateur enrichi d’une dimension sociale, et son exploitation dans un processus de personnalisation et de recommandation. Nous étudions différentes approches sociales de RI (Recherche d’Information), distinguées par le type d’informations sociales incorporées. Nous étudions également diverses approches de recommandation sociale classées par le type de recommandation. Nous exposons ensuite une étude des techniques de modélisation de la dimension sociale du profil utilisateur, suivie par une discussion critique. Ainsi, nous présentons notre approche de recommandation sociale proposée intégrant un modèle avancé de profil utilisateur social.

scholarly journals Nanotechnologies, Risks and Societal Concerns

2016 ◽  
Vol 10 (10) ◽  
pp. 241 ◽  
Author(s):  
Sandrine Gaymard ◽  
Wilson Engelmann
Keyword(s):  
Social Sciences ◽  
Ethical Issues ◽  
Social Representation ◽  
Exact Science ◽  
Psychology And Law ◽  
Inherent Risk ◽  
Human And Social Sciences ◽  
The Social ◽  
Social And Ethical Issues ◽  
New Challenges

The question of nanotechnologies and societal concerns is a subject which has been developing for several years and constitutes an indicator of an evolution in the awareness of nanotechnologies as an inherent risk with social and ethical issues. Two disciplines in human and social sciences, social psychology and law, associate their fields of competence and their view of this new societal phenomenon. First an exploratory study of the social representation of nanotechnologies is conducted with Humanities and Social Sciences (HSS) students vs Exact Science (ES) students. Results highlight differences between these two groups. Then Law and the challenges to appropriate the innovations brought about by nanotechnology is discussed. In the light of these two disciplines the question of knowing if the human and social science are ready to deal with these new challenges is debated.

scholarly journals Addressing Concerns toward Xenotransplantation

2021 ◽  
Author(s):  
Daniel Hurst ◽  
Lluz Padilla ◽  
Wayne Paris ◽  
David Cooper ◽  
David Cleveland
Keyword(s):  
Ethical Issues ◽  
Ethical Implications ◽  
Recent Commentary ◽  
Letter To The Editor ◽  
The Social ◽  
Social And Ethical Issues ◽  
Do So

There is increasing attention being given toward social and ethical implications of xenotransplantation that may begin relatively soon. IN a recent commentary by Loebe and Parker, the authors address many of the social and ethical issues in regard to xenotransplantation, but do so only superficially. This letter to the editor responds to many of the points they raise.

scholarly journals Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test (Preprint)

2019 ◽  
Author(s):  
John Powell
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Health Informatics ◽  
Ethical Issues ◽  
Thought Experiment ◽  
Turing Test ◽  
Conversational Agents ◽  
The Social ◽  
Value Judgements ◽  
Social And Ethical Issues

UNSTRUCTURED Over the next decade, one issue which will dominate sociotechnical studies in health informatics is the extent to which the promise of artificial intelligence in health care will be realized, along with the social and ethical issues which accompany it. A useful thought experiment is the application of the Turing test to user-facing artificial intelligence systems in health care (such as chatbots or conversational agents). In this paper I argue that many medical decisions require value judgements and the doctor-patient relationship requires empathy and understanding to arrive at a shared decision, often handling large areas of uncertainty and balancing competing risks. Arguably, medicine requires wisdom more than intelligence, artificial or otherwise. Artificial intelligence therefore needs to supplement rather than replace medical professionals, and identifying the complementary positioning of artificial intelligence in medical consultation is a key challenge for the future. In health care, artificial intelligence needs to pass the implementation game, not the imitation game.

Social/Ethical Issues in Predictive Insider Threat Monitoring

2010 ◽  
pp. 132-161 ◽  
Author(s):  
Frank L. Greitzer ◽  
Deborah Frincke ◽  
Mariah Zabriskie
Keyword(s):  
Ethical Issues ◽  
A Priori ◽  
Warning Signs ◽  
Insider Threat ◽  
Employee Morale ◽  
Employee Trust ◽  
The Social ◽  
Social And Ethical Issues ◽  
Predictive Approaches ◽  
Legal Guidelines

Combining traditionally monitored cybersecurity data with other kinds of organizational data is one option for inferring the motivations of individuals, which may in turn allow early prediction and mitigation of insider threats. While unproven, some researchers believe that this combination of data may yield better results than either cybersecurity or organizational data would in isolation. However, this nontraditional approach yields inevitable conflicts between security interests of the organization and privacy interests of individuals. There are many facets to debate. Should warning signs of a potential malicious insider be addressed before a malicious event has occurred to prevent harm to the organization and discourage the insider from violating the organization’s rules? Would intervention violate employee trust or legal guidelines? What about the possibilities of misuse? Predictive approaches cannot be validated a priori; false accusations may harm the career of the accused; and collection/monitoring of certain types of data may adversely affect employee morale. In this chapter, we explore some of the social and ethical issues stemming from predictive insider threat monitoring and discuss ways that a predictive modeling approach brings to the forefront social and ethical issues that should be considered and resolved by stakeholders and communities of interest.

Social/Ethical Issues in Predictive Insider Threat Monitoring

Cyber Crime ◽  
2013 ◽  
pp. 1100-1129 ◽  
Author(s):  
Frank L. Greitzer ◽  
Deborah Frincke ◽  
Mariah Zabriskie
Keyword(s):  
Ethical Issues ◽  
A Priori ◽  
Warning Signs ◽  
Insider Threat ◽  
Employee Morale ◽  
Employee Trust ◽  
The Social ◽  
Social And Ethical Issues ◽  
Predictive Approaches ◽  
Legal Guidelines

Combining traditionally monitored cybersecurity data with other kinds of organizational data is one option for inferring the motivations of individuals, which may in turn allow early prediction and mitigation of insider threats. While unproven, some researchers believe that this combination of data may yield better results than either cybersecurity or organizational data would in isolation. However, this nontraditional approach yields inevitable conflicts between security interests of the organization and privacy interests of individuals. There are many facets to debate. Should warning signs of a potential malicious insider be addressed before a malicious event has occurred to prevent harm to the organization and discourage the insider from violating the organization’s rules? Would intervention violate employee trust or legal guidelines? What about the possibilities of misuse? Predictive approaches cannot be validated a priori; false accusations may harm the career of the accused; and collection/monitoring of certain types of data may adversely affect employee morale. In this chapter, we explore some of the social and ethical issues stemming from predictive insider threat monitoring and discuss ways that a predictive modeling approach brings to the forefront social and ethical issues that should be considered and resolved by stakeholders and communities of interest.

Constraints on teaching the social and ethical issues arising from developments in biomedical research: A view across the curriculum in England and Wales

2000 ◽  
Vol 41 (2) ◽  
pp. 107-120 ◽  
Author(s):  
Ralph Levinson ◽  
Anna Douglas ◽  
Jane Evans ◽  
Alison Kirton ◽  
Pavlos Koulouris ◽  
...  
Keyword(s):  
Biomedical Research ◽  
Ethical Issues ◽  
England And Wales ◽  
The Social ◽  
Social And Ethical Issues

(VOJAŠKI) ROBOTSKI SISTEMI: MERILA ZA RAZVRŠČANJE V SKUPINE IN DRUŽBENO-ETIČNE DILEME

2018 ◽  
pp. 71-84
Keyword(s):  
Ethical Issues ◽  
Ethical Dilemmas ◽  
Armed Forces ◽  
Autonomous Robot ◽  
Robot System ◽  
The Social ◽  
Robot Systems ◽  
Social And Ethical Issues ◽  
Definition Of ◽  
Future Technologies

Povzetek Tehnologije prihodnosti, ki nastajajo na presečišču štirih znanstvenotehnoloških domen (nano-, info-, bio- in kogno), prežemajo vse družbene sloje – oborožene sile pri tem niso izjema. Pregled pomembnejših obrambnih konceptov, ki v luči novih strategij vojskovanja predvidevajo uporabo novih vojaških tehnologij, pokaže, da v sodobnih oborožitvenih sistemih robotika vseskozi igra pomembno vlogo. Namen prispevka je identificirati in opredeliti vojaške robotske sisteme, prikazati razvrščanje teh sistemov glede na področje uporabe in stopnjo avtonomije ter odgovoriti na nekatera družbeno-etična vprašanja, ki jih prinašajo (pol)avtonomni robotski sistemi. Ugotavljamo, da splošno sprejeta definicija, ki bi pojasnjevala, kaj robotski sistem je, ne obstaja, opredelitve vojaškega robota pa so pogosto nejasne. Na podlagi teh izsledkov in po pregledu več definicij predlagamo izhodišča za oblikovanje nove definicije (vojaškega) robotskega sistema. Za konec izpostavljamo še nekatere dileme, ki predstavljajo del širšega razmisleka o oceni tveganj, ki jih prinašata razvoj in uporaba avtonomnih robotskih sistemov, sprašujemo se, ali slediti svariteljskim ali proakcijskim načelom. Ključne besede: tehnologije prihodnosti, robotski sistemi, sistemi brez posadke, avtonomija, družbeno-etične dileme Abstract Future technologies, which are emerging at the intersections of four scientific and technological domains (Nano-Bio-Info-Cogno), are now permeating all spheres of society – the armed forces are no exception. Regarding an overview of key defence concepts, which in the light of the modern strategies foresee the use of new military technologies shows that robotics has, throughout, played an important role in the context of contemporary weapons systems. The purpose of this article is to identify and define military robot systems, to present a comprehensive taxonomy of a broad range of robots and autonomy levels, and to discuss the social and ethical issues that arise from the use of (semi) autonomous robot systems. According to the literature review, there is no generally accepted definition of a robot, and definitions of a military robot are often unclear. Based on these findings and after reviewing the definitions by several authors, we propose a few bases to develop a new definition of a (military) robot system. Finally, we highlight some dilemmas as part of a broader discussion of a risk assessment brought about by the development and use of autonomous robot systems. We debate whether to follow the precautionary or the proactionary principle. Key words: Future technologies, robot systems, unmanned systems, ethical dilemmas

scholarly journals Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test

10.2196/16222 ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. e16222 ◽  
Author(s):  
John Powell
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Health Informatics ◽  
Ethical Issues ◽  
Thought Experiment ◽  
Turing Test ◽  
Conversational Agents ◽  
The Social ◽  
Value Judgements ◽  
Social And Ethical Issues

Over the next decade, one issue which will dominate sociotechnical studies in health informatics is the extent to which the promise of artificial intelligence in health care will be realized, along with the social and ethical issues which accompany it. A useful thought experiment is the application of the Turing test to user-facing artificial intelligence systems in health care (such as chatbots or conversational agents). In this paper I argue that many medical decisions require value judgements and the doctor-patient relationship requires empathy and understanding to arrive at a shared decision, often handling large areas of uncertainty and balancing competing risks. Arguably, medicine requires wisdom more than intelligence, artificial or otherwise. Artificial intelligence therefore needs to supplement rather than replace medical professionals, and identifying the complementary positioning of artificial intelligence in medical consultation is a key challenge for the future. In health care, artificial intelligence needs to pass the implementation game, not the imitation game.

From PageRank to Social Rank

2011 ◽  
pp. 134-154
Author(s):  
Sebastian Marius Kirsch ◽  
Melanie Gnasa ◽  
Markus Won ◽  
Armin Cremers
Keyword(s):  
Social Networks ◽  
Information Retrieval ◽  
Social Network ◽  
Social Information ◽  
Social Rank ◽  
Statistical Properties ◽  
Retrieval Algorithm ◽  
Information Spaces ◽  
The Social

Social information spaces are characterized by the presence of a social network between participants. This chapter presents methods for utilizing social networks for information retrieval, by applying graph authority measures to the social network. We show how to integrate authority measures in an information retrieval algorithm. In order to determine the suitability of the described algorithms, we examine the structure and statistical properties of social networks, and present examples of social networks as well as evaluation results.

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