Artificial Intelligence and Innovation in Brazilian Justice

2021 ◽  
pp. 1-10
Author(s):  
Fausto Martin De Sanctis
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Ethical Issues ◽  
Learning System ◽  
Bad Faith ◽  
Legal Cases ◽  
Judicial Decisions ◽  
Current State ◽  
Human Thinking ◽  
The Impact

Abstract Artificial intelligence can bring benefits to legal practice, providing agility and precision. It can allow judicial decisions to be the result of the combination of algorithms, enabling the development of a system based on machine learning. This article seeks to demonstrate the current state of the use of artificial intelligence in the Brazilian justice system with the impact of the development of a deep learning system, merely the result of the automation of textual analyses of legal cases, which now serve as models. Reflection is more than necessary given the ethical issues that can arise in view of the inherent precepts that are usually impregnated in the judicial function. Civil servants, lawyers, prosecutors and judges should be guided by a pertinent regulation of new technologies and reflect on whether judicial decisions would be the result of human thinking or not, in addition to the risk that they can carry when the models are biased, in good or bad faith, due to erroneous classification or misinformation in the system.

Artificial Intelligence and Inequality in the Middle East

2020 ◽  
pp. 624-649 ◽  
Author(s):  
Nagla Rizk
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Young Population ◽  
Mena Region ◽  
Poor Countries ◽  
Current State ◽  
Resource Poor ◽  
Youth Entrepreneurship ◽  
The Arab Spring ◽  
The Impact

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.

scholarly journals Ethics of Corporeal, Co-present Robots as Agents of Influence: a Review

2021 ◽  
Author(s):  
AJung Moon ◽  
Shalaleh Rismani ◽  
H. F. Machiel Van der Loos
Keyword(s):  
Artificial Intelligence ◽  
Physical Environment ◽  
Ethical Issues ◽  
Human Robot Interaction ◽  
Physical Interaction ◽  
Ethical Challenges ◽  
Natural Tendency ◽  
Ai Ethics ◽  
Recent Trends ◽  
The Impact

Abstract Purpose of Review To summarize the set of roboethics issues that uniquely arise due to the corporeality and physical interaction modalities afforded by robots, irrespective of the degree of artificial intelligence present in the system. Recent Findings One of the recent trends in the discussion of ethics of emerging technologies has been the treatment of roboethics issues as those of “embodied AI,” a subset of AI ethics. In contrast to AI, however, robots leverage human’s natural tendency to be influenced by our physical environment. Recent work in human-robot interaction highlights the impact a robot’s presence, capacity to touch, and move in our physical environment has on people, and helping to articulate the ethical issues particular to the design of interactive robotic systems. Summary The corporeality of interactive robots poses unique sets of ethical challenges. These issues should be considered in the design irrespective of and in addition to the ethics of artificial intelligence implemented in them.

scholarly journals Ethical issues on artificial intelligence in radiology: how is it reported in research articles? The current state and future directions

2021 ◽  
Vol 90 (2) ◽  
pp. e513
Author(s):  
Tomasz Piotrowski ◽  
Joanna Kazmierska ◽  
Mirosława Mocydlarz-Adamcewicz ◽  
Adam Ryczkowski
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Real Life ◽  
Exclusion Criteria ◽  
Future Directions ◽  
Current State ◽  
Ethical Status ◽  
The Status ◽  
Clinical Questions ◽  
Almost All

Background. This paper evaluates the status of reporting information related to the usage and ethical issues of artificial intelligence (AI) procedures in clinical trial (CT) papers focussed on radiology issues as well as other (non-trial) original radiology articles (OA). Material and Methods. The evaluation was performed by three independent observers who were, respectively physicist, physician and computer scientist. The analysis was performed for two groups of publications, i.e., for CT and OA. Each group included 30 papers published from 2018 to 2020, published before guidelines proposed by Liu et al. (Nat Med. 2020; 26:1364-1374). The set of items used to catalogue and to verify the ethical status of the AI reporting was developed using the above-mentioned guidelines. Results. Most of the reviewed studies, clearly stated their use of AI methods and more importantly, almost all tried to address relevant clinical questions. Although in most of the studies, patient inclusion and exclusion criteria were presented, the widespread lack of rigorous descriptions of the study design apart from a detailed explanation of the AI approach itself is noticeable. Few of the chosen studies provided information about anonymization of data and the process of secure data sharing. Only a few studies explore the patterns of incorrect predictions by the proposed AI tools and their possible reasons. Conclusion. Results of review support idea of implementation of uniform guidelines for designing and reporting studies with use of AI tools. Such guidelines help to design robust, transparent and reproducible tools for use in real life.

scholarly journals Digital and Intelligent Public Administration: transformations in the era of artificial intelligence

2018 ◽  
Vol 18 (71) ◽  
pp. 55-87 ◽  
Author(s):  
Juan Gustavo Corvalán
Keyword(s):  
Artificial Intelligence ◽  
Public Administration ◽  
Information And Communication Technologies ◽  
Industrial Revolution ◽  
New Technologies ◽  
Technological Development ◽  
Digital Era ◽  
Challenges And Opportunities ◽  
Information And Communication ◽  
The Impact

This article addresses the impact of the digital era and it specifically refers to information and communication technologies (ICT) in Public Administration. It is based on the international approach and underscores the importance of incorporating new technologies established by the United Nations and the Organization of American States. Thereon, it highlights the Argentine Republic national approach towards ICT, and how it has moved towards a digital paradigm. It then emphasizes on the challenges and opportunities that emerge from the impact that artificial intelligence has in transforming Public Administration. Finally, it concludes that the key challenge of the Fourth Industrial Revolution is to achieve a boost towards a Digital and Intelligent Administration and government, which promotes the effectiveness of rights and an inclusive technological development that assures the digital dignity of people.  

scholarly journals Qualitative Study of Oncologists’ Views on the CancerLinQ Rapid Learning System

2017 ◽  
Vol 13 (3) ◽  
pp. e176-e184 ◽  
Author(s):  
Rachel M. Mayo ◽  
Julie F. Summey ◽  
Joel E. Williams ◽  
Rebecca A. Spence ◽  
Shally Kim ◽  
...  
Keyword(s):  
Clinical Decision Making ◽  
Ethical Issues ◽  
Health Care Systems ◽  
Clinical Decision ◽  
Learning System ◽  
Patient Identification ◽  
Rapid Learning ◽  
Ethical Implications ◽  
Patient Consent ◽  
The Impact

Introduction: ASCO is actively developing CancerLinQ (CLQ), a rapid learning system for oncology care. The purpose of this study was to explore providers’ opinions and concerns related to implementation of CLQ, including ethical issues. Methods: Twenty key informant oncologists were recruited for individual in-depth interviews through ASCO contacts, purposively selected to represent a wide variety of cancer specialties as well as different levels of familiarity with CLQ (familiar v unfamiliar). Qualitative data analysis was completed by a three-member team using an inductive narrative approach. Themes were examined by participants familiar and unfamiliar with CLQ, and quotations exemplifying each theme are provided. Results: Participants’ opinions centered on three main themes: (1) general attitudes regarding learning health care systems, (2) optimal approach to patient consent, and (3) appropriateness of data use. There was clear support for the use of big data in clinical decision making for patients and in research. Unfamiliar participants expressed concerns regarding system protections against patient identification, and both familiar and unfamiliar participants discussed the dilemma of including genetic information. Respondents were in agreement with notifying patients early; however, there was debate over whether patients should opt in or opt out. Overall, there was great concern regarding sharing data with drug companies and insurers. Conclusion: Understanding oncologists’ perspectives regarding the ethical implications of CLQ implementation is critical to its success. More research is needed on the impact of rapid learning systems on providers, patients, health systems, and the ultimate effect on cancer care.

scholarly journals The Unknown Potential of Blockchain for Sustainable Supply Chains

2020 ◽  
Vol 12 (22) ◽  
pp. 9400
Author(s):  
Vincenzo Varriale ◽  
Antonello Cammarano ◽  
Francesca Michelino ◽  
Mauro Caputo
Keyword(s):  
Supply Chains ◽  
New Technologies ◽  
Three Dimensions ◽  
Sustainable Supply Chains ◽  
Current State ◽  
Development Agenda ◽  
Managerial Implications ◽  
Negative Impacts ◽  
The One ◽  
The Impact

The growing attention to emerging technologies has raised several doubts regarding the sustainability aspects. Among the new technologies, blockchain has laid the foundations for a revolution in the financial field but also in the energy, tourism, medical, industrial and supply chains sectors. Through a systematic literature review, 37 documents were analyzed to describe the sustainable aspects generated using blockchain in supply chains. Therefore, the results achieved provide two levels of analysis. The former highlights the impact of the adoption of blockchain in supply chains based on the three dimensions of sustainability: environmental, economic and social. The latter shows the positive and negative impacts of each form of sustainability. The purpose of the work is to summarize the current state of the art in order to propose a future development agenda based on the need to simulate and define a measurability for each dimension of sustainability. Finally, the study provides a broad overview of practical and managerial implications for entrepreneurs and researchers. On the one hand, the work shows how the use of blockchain improves the profits and reputation of companies. On the other hand, it highlights several research gaps to be investigated and considered by researchers.

E-Learning in New Technologies

2011 ◽  
pp. 532-535
Author(s):  
Nieves Pedreira ◽  
José Ramón Méndez Salgueiro ◽  
Manuel Martínez Carballo
Keyword(s):  
Learning Communities ◽  
New Technologies ◽  
Learning System ◽  
Learning Patterns ◽  
Communications Technologies ◽  
Contemporary Life ◽  
Collaborative Learning Communities ◽  
E Learning ◽  
Set Up ◽  
The Impact

E-learning and the impact of new technologies across contemporary life is a very significant field to education. The challenge of the technology to conventional learning patterns cannot be ignored and in itself raises a host of questions: can online learning facilitate deep learning? How well does video conferencing alleviate the challenge of distance? In what ways can collaborative learning communities be developed and sustained using current and new technologies? At the same time, new communications technologies are impacting on the ways in which we understand ourselves and the worlds in which we live. Relating to this, the aim of today’s education is not to learn certain contents, but rather learn to learn in the course of a whole lifetime. The study of the learning process can help us to find the relevant points to set up some interesting characteristics of a really functional e-learning system.

“A Take-Home Baby”

2019 ◽  
pp. 3-21
Author(s):  
Robert L. Klitzman
Keyword(s):  
United States ◽  
New Technologies ◽  
Ethical Issues ◽  
Assisted Reproductive Technologies ◽  
Insurance Coverage ◽  
The United States ◽  
Third Party ◽  
Legal Cases ◽  
Professional Experiences ◽  
American Society

This introductory chapter provides an outline of the structure and themes of the book, and describes how I became interested in this topic—through both personal and professional experiences. The chapter presents a brief overview of infertility and several assisted reproductive technologies (ARTs), including new technologies (e.g., gene editing and CRISPR) and their history; recent statistics on use of these interventions in the United States and elsewhere; several relevant current policies, guidelines, and recent legal cases in the United States, Europe, and elsewhere (e.g., from the FDA, CDC, and the American Society for Reproductive Medicine [ASRM]) pertaining to sale and purchase of so-called third-party gametes (i.e., human eggs and sperm); costs and insurance coverage; ethical issues posed by ARTs (e.g., regarding eugenics); and other aspects of these treatments. The chapter also provides an overview of the qualitative methods used in the research that forms a basis of the book.

scholarly journals Artificial Intelligence and Its Impact on Labour Relations in Estonia

2020 ◽  
pp. 255-277
Author(s):  
Kristi Joamets ◽  
Archil Chochia
Keyword(s):  
Artificial Intelligence ◽  
Labour Market ◽  
New Technologies ◽  
Scientific Literature ◽  
Labour Force ◽  
Policy Documents ◽  
Labour Relations ◽  
Eu Policy ◽  
The Impact ◽  
The Eu

The third industrial revolution, the digital revolution, affected economy and thus labour relations, too. Now the so-called fourth revolution, the artificial intelligence (AI) revolution, will cause further massive changes in the labour market. This is not just about the caution that robots will replace all employees, but this also raises a question about new skills the labour market requires the employees to have. Scientific literature and the EU policy documents do not cover the AI – labour market issues in a unified approach, however welcoming the development of new technologies on the one hand, with concerns about weakening the labour force by jobs loses, on the other hand. The article elucidates the AI revolution and analyses the AI influence on labour market, specifically identifying the new skills required, based on relevant scientific literature and the EU policy documents. Considering the AI impact on labour relations, continuous alteration of skills and knowledge offered should be of special concern– it is not only about a labour relation per se, new models emerge all the time in the labour market. The authors also investigate the impact of AI on the Estonian labour market, i.e. whether the AI´s effects appear as disastrous as expected or simply a welcome development for the welfare of the state. The article discusses how AI impacts labour relations and which professions fall in a greater risk of disappearing and, more specifically, the AI´s influence on the Estonian labour market.

scholarly journals Real and false goals of artificial intelligence

2021 ◽  
pp. 43-48
Author(s):  
Oleg Figovsky ◽  
◽  
Oleg Penskiy ◽  
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Negative Impact ◽  
Modern Society ◽  
Modern World ◽  
Human Psychology ◽  
Proposed Model ◽  
Numerical Assessment ◽  
Human Thinking ◽  
The Impact

The paper describes and justifies the possible dangers of artificial intelligence to human psychology. The manifestations of this danger in the modern world are illustrated by examples. Authors formulated and proved the hypothesis that under the influence of artificial intelligence on a person some changes in the ways of human thinking are possible. A mathematical model for calculating the influence of artificial intelligence on the psychological parameters of a person is proposed. In order to control the influence of artificial intelligence on society authors suggested to formulate specific goals for the integration of artificial intelligence into society, taking into account the negative impact of this intelligence on human psychology. Based on the formulated goals, a simple mathematical model is offered. This model allows for a quick numerical assessment of the impact society on the "psychology" of the robot and vice versa. Simple example of calculating this influence in modern society demonstrates the work of the proposed model.

Sign in / Sign up

Export Citation Format

Share Document