11 research outputs found
From Responsible Research and Innovation to Responsibility by Design
open access articleDrawing on more than eight years working to implement Responsible Research and Innovation (RRI) in the Human Brain Project, a large EU-funded research project that brings together neuroscience, computing, social sciences, and the humanities, and one of the largest investments in RRI in one project, this article offers insights on RRI and explores its possible future. We focus on the question of how RRI can have long-lasting impact and persist beyond the time horizon of funded projects. For this purpose, we suggest the concept of “responsibility by design” which is intended to encapsulate the idea of embedding RRI in research and innovation in a way that makes it part of the fabric of the resulting outcomes, in our case, a distributed European Research Infrastructure
Fertigungstechnik, Polieren, Werkzeugmaschinen - Oberflächenfeinbearbeitung auf CNC-Bearbeitungszentren: Entwicklung zum CNC-basierten Schleifen und Polieren von Metallteilen
The surface quality after manual finishing is crucial for subsequent product quality. In cutting and with additively produced moldings for metal mold making, finishing is mainly carried out manually by skilled workers. The need for manual finishing, customer requirements, manufacturing organization, and high labor costs, however, led to the decision to replace manual operations through a robust finishing process performed on CNC-controlled machining centers that are proven in toolmaking and safe to operate
A method for the ethical analysis of brain-inspired AI
Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to underlying theoretical models, such as symbolic vs. connectionist), and operational (e.g., related to robustness and ability to generalize). Biologically inspired AI, and more specifically brain-inspired AI, promises to provide further biological aspects beyond those that are already traditionally included in AI, making it possible to assess and possibly overcome some of its present shortcomings. This article examines some conceptual, technical, and ethical issues raised by the development and use of brain-inspired AI. Against this background, the paper asks whether there is anything ethically unique about brain-inspired AI. The aim of the paper is to introduce a method that has a heuristic nature and that can be applied to identify and address the ethical issues arising from brain-inspired AI. The conclusion resulting from the application of this method is that, compared to traditional AI, brain-inspired AI raises new foundational ethical issues and some new practical ethical issues, and exacerbates some of the issues raised by traditional AI
A method for the ethical analysis of brain-inspired AI
Despite its successes, to date Artificial Intelligence (AI) is still
characterized by a number of shortcomings with regards to different application
domains and goals. These limitations are arguably both conceptual (e.g.,
related to underlying theoretical models, such as symbolic vs. connectionist),
and operational (e.g., related to robustness and ability to generalize).
Biologically inspired AI, and more specifically brain-inspired AI, promises to
provide further biological aspects beyond those that are already traditionally
included in AI, making it possible to assess and possibly overcome some of its
present shortcomings. This article examines some conceptual, technical, and
ethical issues raised by the development and use of brain-inspired AI. Against
this background, the paper asks whether there is anything ethically unique
about brain-inspired AI. The aim of the paper is to introduce a method that has
a heuristic nature and that can be applied to identify and address the ethical
issues arising from brain-inspired AI. The conclusion resulting from the
application of this method is that, compared to traditional AI, brain-inspired
AI raises new foundational ethical issues and some new practical ethical
issues, and exacerbates some of the issues raised by traditional AI.Comment: 30 pages theoretical article resulting from a multidisciplinary
collaboration about technical, theoretical and ethical aspects of
brain-inspired A
Improving Energy and Resource Efficiency of Electric Steelmaking Through Simulation Tools and Process Data Analyses
From Responsible Research and Innovation to responsibility by design
Drawing on more than eight years working to implement Responsible Research and Innovation (RRI) in the Human Brain Project, a large EU-funded research project that brings together neuroscience, computing, social sciences, and the humanities, and one of the largest investments in RRI in one project, this article offers insights on RRI and explores its possible future. We focus on the question of how RRI can have long-lasting impact and persist beyond the time horizon of funded projects. For this purpose, we suggest the concept of ‘responsibility by design’ which is intended to encapsulate the idea of embedding RRI in research and innovation in a way that makes it part of the fabric of the resulting outcomes, in our case, a distributed European Research Infrastructure