Promoting the ethical formation of engineering students through the cultivation of their discipline-specific knowledge, sensitivity, imagination, and reasoning skills has become a goal for many engineering education programs throughout the United States. However, there is neither a consensus throughout the engineering education community regarding which strategies are most effective towards which ends, nor which ends are most important. This study provides an overview of engineering ethics interventions within the U.S. through the systematic analysis of articles that featured ethical interventions in (...) engineering, published in select peer-reviewed journals, and published between 2000 and 2015. As a core criterion, each journal article reviewed must have provided an overview of the course as well as how the authors evaluated course-learning goals. In sum, 26 articles were analyzed with a coding scheme that included 56 binary items. The results indicate that the most common methods for integrating ethics into engineering involved exposing students to codes/standards, utilizing case studies, and discussion activities. Nearly half of the articles had students engage with ethical heuristics or philosophical ethics. Following the presentation of the results, this study describes in detail four articles to highlight less common but intriguing pedagogical methods and evaluation techniques. The findings indicate that there is limited empirical work on ethics education within engineering across the United States. Furthermore, due to the large variation in goals, approaches, and evaluation methods described across interventions, this study does not detail “best” practices for integrating ethics into engineering. The science and engineering education community should continue exploring the relative merits of different approaches to ethics education in engineering. (shrink)

The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...) ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. (shrink)

Computing is changing the traditional field of Philosophy of Science in a very profound way. First as a methodological tool, computing makes possible ``experimental Philosophy'' which is able to provide practical tests for different philosophical ideas. At the same time the ideal object of investigation of the Philosophy of Science is changing. For a long period of time the ideal science was Physics (e.g., Popper, Carnap, Kuhn, and Chalmers). Now the focus is shifting to the field of Computing/Informatics. There are (...) many good reasons for this paradigm shift, one of those being a long standing need of a new meeting between the sciences and humanities, for which the new discipline of Computing/Informatics gives innumerable possibilities. Contrary to Physics, Computing/Informatics is very much human-centered. It brings a potential for a new Renaissance, where Science and Humanities, Arts and Engineering can reach a new synthesis, so very much needed in our intellectually split culture. This paper investigates contemporary trends and the relation between the Philosophy of Science and the Philosophy of Computing and Information, which is equivalent to the present relation between Philosophy of Science and Philosophy of Physics. (shrink)