An Ethical Framework for Facial Recognition Use in New Zealand

Facial recognition technology is an increasingly growing, constantly adapting technology. It can serve many benefits for legal entities in many ways. Examples of this would be biometric recognition or border control at an airport. Because of its power and efficiency, many legal entities are looking to utilise this technology. With this continued growth comes ethical concerns about ensuring data privacy for individuals whose data is collected, used, and stored to power this technology. Currently, there is a lack of an ethical framework for legal entities to adopt, follow and utilise within New Zealand. This makes it an ethical grey area for the businesses and individuals looking to utilise this technology. This document aims to review existing frameworks about facial recognition technology,finally concluding a code of ethics for facial recognition use in New Zealand for the engineering profession

A Code of Ethics For Robotics Engineers

This project developed a draft code of ethics for professional robotics engineers by researching into the fields of robotics, ethics and roboethics to develop the necessary understanding. The code was drafted and presented to students, professors and professionals for feedback and revision. The code is now hosted at the Illinois Institute of Technology\u27s Center for the Study of Ethics in the Professions website (ethics.iit.edu), and is open for discussion at (rbethics.lefora.com. It is being proposed for adoption to the WPI Robotics Program faculty and the WPI Robotics Engineering Honors Fraternity, Rho Beta Epsilon

The role and value of ethical frameworks in software development

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Software development is notorious for failure, typically defined as over budget, late delivery and/or poor quality of new information systems (IS) on project completion. The consequences of such failure can be enormous, particularly financially. As such, there is consensus by practitioners and academics alike that this practice is unacceptable. Yet with a variety of accepted development methods and tools available for use by software developers and project managers, there is still no significant reduction in the size or frequency of failure reported. In an attempt to understand the conflicts which arise in the development environment in which developers and project managers must operate, the research area is the role and value of ethics in the development of managed software projects. A definition of ethics in this context was provided by the IEEE/ACM Code of Ethics. Research was additionally conducted to understand how other professions and business areas define and enforce ethics in their respective working environments. These were (UK) Law, Finance, Retail and, law practice in the European Union. Interpretive research was then conducted to enable software development practices to be understood from the view of developers and project managers in industry. Unethical practices were then identified in a large IT company based in west London via a single, six month in-depth case study, with the data collected analysed via a series of repertory grids. Analysis and triangulation of the data collected via interviews, document analysis and observations led to an improved understanding of the causes of the unethical practices found. Conclusions and recommendations are then provided relating to implications for (a) the company participating in the research, (b) the application of the IEEE/ACM Code in industry (c) theory for ethicists

Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS - a collection of Technical Notes Part 1

This report provides an introduction and overview of the Technical Topic Notes (TTNs) produced in the Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS (Tigars) project. These notes aim to support the development and evaluation of autonomous vehicles. Part 1 addresses: Assurance-overview and issues, Resilience and Safety Requirements, Open Systems Perspective and Formal Verification and Static Analysis of ML Systems. Part 2: Simulation and Dynamic Testing, Defence in Depth and Diversity, Security-Informed Safety Analysis, Standards and Guidelines

The Code

This Code may be published without permission as long as it is not changed in any way and it carries the copyright notice. Copyright (c) 2018 by the Association for Computing Machinery.Computing professionals' actions change the world. To act responsibly, they should reflect upon the wider impacts of their work, consistently supporting the public good. The ACM Code of Ethics and Professional Conduct ("the Code") expresses the conscience of the profession. The Code is designed to inspire and guide the ethical conduct of all computing professionals, including current and aspiring practitioners, instructors, students, influencers, and anyone who uses computing technology in an impactful way. Additionally, the Code serves as a basis for remediation when violations occur. The Code includes principles formulated as statements of responsibility, based on the understanding that the public good is always the primary consideration. Each principle is supplemented by guidelines, which provide explanations to assist computing professionals in understanding and applying the principle

Designing Normative Theories for Ethical and Legal Reasoning: LogiKEy Framework, Methodology, and Tool Support

A framework and methodology---termed LogiKEy---for the design and engineering of ethical reasoners, normative theories and deontic logics is presented. The overall motivation is the development of suitable means for the control and governance of intelligent autonomous systems. LogiKEy's unifying formal framework is based on semantical embeddings of deontic logics, logic combinations and ethico-legal domain theories in expressive classic higher-order logic (HOL). This meta-logical approach enables the provision of powerful tool support in LogiKEy: off-the-shelf theorem provers and model finders for HOL are assisting the LogiKEy designer of ethical intelligent agents to flexibly experiment with underlying logics and their combinations, with ethico-legal domain theories, and with concrete examples---all at the same time. Continuous improvements of these off-the-shelf provers, without further ado, leverage the reasoning performance in LogiKEy. Case studies, in which the LogiKEy framework and methodology has been applied and tested, give evidence that HOL's undecidability often does not hinder efficient experimentation.Comment: 50 pages; 10 figure