Fake news, technology and ethics: Can AI and blockchains restore integrity?

2021 ◽  
pp. 204388692199906
Author(s):  
Mary C Lacity

This teaching case explores the advantages and disadvantages of battling fake news with advanced information technologies, such as artificial intelligence (AI) and blockchains. Students will explore the purposes of, proliferation of, susceptibility to, and consequences of fake news and assess the efficacy of new interventions that rely on emerging technologies. Key questions students will explore: How can we properly balance freedom of speech and the prevention of fake news? What ethical guidelines should be applied to the use of AI and blockchains to ensure they do more good than harm? Will technology be enough to stop fake news?

Author(s):  
Claudia Lengua Cantero ◽  
Giany Bernal Oviedo ◽  
Wilson Flórez Balboza ◽  
Miguel Velandia Feria

El uso de las tecnologías de la información, como mediación entre los procesos de enseñanza-aprendizaje, han supuesto la concepción y el diseño de nuevos paradigmas que coadyuven a definir nuevas propuestas didácticas y pedagógicas, con el objetivo de propiciar espacios y metodologías que trascienden a las tradicionales. El presente estudio se centró en caracterizar el uso de las tecnologías emergentes (TE) como mediación para el desarrollo del pensamiento crítico en los diez últimos años. En este sentido, se analizó el uso de la inteligencia artificial en la educación, sus características y la arquitectura de los sistemas expertos. El método utilizado para la recolección de la información fue el análisis documental de diferentes artículos científicos. Se concluye que las tecnologías emergentes son un agente científico que se caracterizan por mantenerse en constante evolución y que en los últimos años se han situado como una de las tendencias con mayor desarrollo en el campo educativo. No obstante, en el caso concreto de la inteligencia artificial, esta no ha alcanzado su estado de madurez aún y no se evidencian estudios que la relacionen con el desarrollo del pensamiento crítico. The use of information technologies, as mediation between the learning-teaching processes, has supposed the conception and new design of paradigms that helps to define new didactic and pedagogical proposals, with the objective of propitiating places and methodologies that transcend the traditional ones. This research it is focused on characterize the use of emerging technologies (ET) as mediation for critical thinking development in the last ten years. In this sense, the use of artificial intelligence in education, its characteristics and the expert systems architecture were analysed. The method used to collect the information was the documentary analysis of different scientific articles. It is concluded that emerging technologies are a scientific agent that are characterized by constant evolution andn the last years they have become one of the most developed trends in the field of education.  However, in the specific case of artificial intelligence, it has not yet reached its state of maturity and there is no evidence of studies that relate it to the critical thinking development.


2020 ◽  
pp. 3-10
Author(s):  
I. V. Levchenko

The article considers the feasibility of integrating artificial intelligence technologies into school education and identifies a problem in identifying didactic elements in the field of artificial intelligence, which must be mastered in a school informatics course. The purpose of the article is to propose variant of the content of teaching the elements of artificial intelligence for the general education of schoolchildren as part of the curricular and extracurricular activities in informatics. An analysis of the psychological, pedagogical and scientific-methodical literature in the field of artificial intelligence made it possible to identify the appropriateness of teaching schoolchildren the elements of artificial intelligence in the framework of a comprehensive informatics course, as the theoretical foundations of modern information technologies. Summarizing and systematizing the learning experience of schoolchildren in the field of artificial intelligence made it possible to form variant of the content of teaching the elements of artificial intelligence, which can be implemented in a compulsory informatics course for 9th grade, as well as in elective classes. The results of the study are the theoretical basis for the further development of the components of the methodological system of teaching the elements of artificial intelligence in a school informatics course. The research materials may be useful to specialists in the field of teaching informatics and to informatics teachers.


Author(s):  
Anton Koshelev ◽  
Ekaterina Rusakova

A significant leap in the development of information technology over the past twenty years has made the global legal community respond to new challenges that have come along with the progress in the digital environment. Together with the convenience of using electronic resources, society has developed a need for a simple and understandable legislative regulation of legal relations arising from the use of computer information technologies and various products of electronic digital activity in order to protect their interests potentially. The concept and types of electronic evidence in civil proceedings in different countries have different meanings. Meanwhile, the regulations of their procedural admissibility and applicability differ. The common thing is the tendency towards an increase in the use of electronic information carriers in court proceedings, increasing importance for establishing specific facts, and the decisive evidentiary role in making decisions by the court. India became one of the first countries to realize the growing level of implementation of Internet technologies, electronic digital storage media, and computer dominance in society and the state's daily life [1] (Artemyeva, Y.A. et al.). The consequence of this understanding was the timely development and implementation of the substantive and procedural bases in evidence law for practical, understandable, and convenient use of electronic evidence in civil proceedings. The article examines the types and procedural status of electronic evidence and analyzes the current legislation and law enforcement practice in the admissibility and application of electronic evidence in civil proceedings in India. The study identifies the existing system of electronic evidence in the legal field of India, the determination of the advantages and disadvantages in the gathering, presentation, research, and evaluation of electronic evidence by the court in civil proceedings, as well as the identification of the procedural order for their provision. The researchers have identified the following tasks to achieve the goals: • to define and research the legislation of India governing the concept, types and procedural order of applicability and admissibility of electronic evidence in civil proceedings in India; • to develop a particular procedural order for the effective use of the institution of electronic evidence in civil litigation in India; • to identify the current trends in the gathering, presentation, research, and evaluation of electronic evidence in India's courts, based on the established judicial practice study. The research methodology is based on general theoretical and scientific methods of cognition, including abstraction and specification, analysis and synthesis, modeling and comparison, and systemic, logical, and functional analyzes. The scientific novelty of the research consists of a comprehensive study of the instruments of legal regulation of the institution of electronic evidence in India's legal field, including regulatory legal acts and judicial precedents, and a consideration of the possibility of applying Indian approaches in the jurisdictions of other countries. The analysis of legislation and jurisprudence regarding electronic evidence in India's civil proceedings was carried out using the synergistic principle of object study, statistical-sequential analysis, and empirical research method. This study's results can be used in lawmaking to develop and improve regulations regarding the procedural status and use of electronic evidence in civil litigation in any country. The reference, citation, and use of this article's conclusions and materials are permissible when conducting lectures and seminars on civil procedure and private international law, research activities, law enforcement practice, and teaching.


Author(s):  
Andrea Renda

This chapter assesses Europe’s efforts in developing a full-fledged strategy on the human and ethical implications of artificial intelligence (AI). The strong focus on ethics in the European Union’s AI strategy should be seen in the context of an overall strategy that aims at protecting citizens and civil society from abuses of digital technology but also as part of a competitiveness-oriented strategy aimed at raising the standards for access to Europe’s wealthy Single Market. In this context, one of the most peculiar steps in the European Union’s strategy was the creation of an independent High-Level Expert Group on AI (AI HLEG), accompanied by the launch of an AI Alliance, which quickly attracted several hundred participants. The AI HLEG, a multistakeholder group including fifty-two experts, was tasked with the definition of Ethics Guidelines as well as with the formulation of “Policy and Investment Recommendations.” With the advice of the AI HLEG, the European Commission put forward ethical guidelines for Trustworthy AI—which are now paving the way for a comprehensive, risk-based policy framework.


Author(s):  
Mehdi Dastani ◽  
Paolo Torroni ◽  
Neil Yorke-Smith

AbstractThe concept of anormis found widely across fields including artificial intelligence, biology, computer security, cultural studies, economics, law, organizational behaviour and psychology. The concept is studied with different terminology and perspectives, including individual, social, legal and philosophical. If a norm is an expected behaviour in a social setting, then this article considers how it can be determined whether an individual is adhering to this expected behaviour. We call this processmonitoring, and again it is a concept known with different terminology in different fields. Monitoring of norms is foundational for processes of accountability, enforcement, regulation and sanctioning. Starting with a broad focus and narrowing to the multi-agent systems literature, this survey addresses four key questions: what is monitoring, what is monitored, who does the monitoring and how the monitoring is accomplished.


2014 ◽  
Vol 513-517 ◽  
pp. 2416-2419
Author(s):  
Cai Xia Wang ◽  
Ning Liu

The knowledge management system of teaching case corpus adopts case reasoning technology in the field of artificial intelligence. The whole system includes altogether ten modules. They are case uploading, case modification, case analysis, case algorithm and critical case management. The basic function is to assist the trained teachers to get the teaching case knowledge from other teachers, so as to develop teachersspecialty. In the module of case algorithm , in the application of the algorithm of case-searching based on AHP, the case needed by the users can be sorted out in an objective and fair way.


2021 ◽  
Vol 13 (2) ◽  
pp. 1-12
Author(s):  
Sumit Das ◽  
Manas Kumar Sanyal ◽  
Sarbajyoti Mallik

There is a lot of fake news roaming around various mediums, which misleads people. It is a big issue in this advanced intelligent era, and there is a need to find some solution to this kind of situation. This article proposes an approach that analyzes fake and real news. This analysis is focused on sentiment, significance, and novelty, which are a few characteristics of this news. The ability to manipulate daily information mathematically and statistically is allowed by expressing news reports as numbers and metadata. The objective of this article is to analyze and filter out the fake news that makes trouble. The proposed model is amalgamated with the web application; users can get real data and fake data by using this application. The authors have used the AI (artificial intelligence) algorithms, specifically logistic regression and LSTM (long short-term memory), so that the application works well. The results of the proposed model are compared with existing models.


Journalism ◽  
2021 ◽  
pp. 146488492110606
Author(s):  
Sam Gregory

Frontline witnessing and civic journalism are impacted by the rhetoric and the reality of misinformation and disinformation. This essay highlights key insights from activities of the human rights and civic journalism network WITNESS, as they seek to prepare for new forms of media manipulation, such as deepfakes, and to ensure that an emergent “authenticity infrastructure” is in place to respond to global needs for reliable information without creating additional harms. Based on global consultations on perceived threats and prioritized solutions, their efforts are primarily targeted towards synthetic media and deepfakes, which not only facilitate audiovisual falsification (including non-consensual sexual images) but also, by being embedded in societal dynamics of surveillance and civil society suppression, they challenge real footage and so undermine the credibility of civic media and frontline witnessing (also known as “liar’s dividend”). They do this within a global context where journalists and some distant witness investigators self-identify as lacking relevant skills and capacity, and face inequity in access to detection technologies. Within this context, “authenticity infrastructure” tracks media provenance, integrity, and manipulation from camera to edit to distribution, and so comes to provide “verification subsidies” that enable distant witnesses to properly interpret eye-witness footage. This “authenticity infrastructure” and related tools are rapidly moving from niche to mainstream in the form of initiatives the Content Authenticity Initiative and Coalition for Content Authenticity and Provenance, raising key questions about who participates in the production and dissemination of audiovisual information, under what circumstances and to which effect for whom. Provenance risks being weaponized unless key concerns are integrated into infrastructure proposals and implementation. Data may be used against vulnerable witnesses, or the absence of a trail, for legitimate privacy and technological access reasons, used to undermine credibility. Regulatory and extra-legal co-option are also a fear as securitized “fake news” laws proliferate. The investigation of both phenomena, deepfakes and emergent authenticity infrastructure(s), this paper argues, is important as it highlights the risks related  both to the “information disorder” of deepfakes as they challenge the credibility and safety of frontline witnesses  and to responses to such “disorder,” as they risk worsening inequities in access to tools for mitigation or increasing exposure to harms from technology infrastructure.


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