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  • Ethics & STICs: scientific integrity, research ethics & information ethics for ICTs

Ethics & STICs: scientific integrity, research ethics & information ethics for ICTs

Ref. 71004
CategoryComputer science and programmingCategoryTools for researchCategoryDigital and technology
Training in scientific integrity, open science, research ethics and information ethics for doctoral students in information technologies
  • Duration: 4 weeks
  • Effort: 15 hours
  • Pace: ~3h45/week
  • Languages: English

What you will learn

At the end of this course, you will be able to:

  • Navigate the legal, social and regulatory framework in which scientific research is conducted.
  • Assert a basic understanding of the goals, methods and practice of scientific research, so as to avoid the pitfalls of misconduct and malpractice. (scientific integrity)
  • Understand how scientific activity changes our lives and impacts society, for good or for bad, and acquire a framework to help you control this impact (research ethics)
  • Apply this general framework to the context of information technologies (Computer and Information Ethics)
  • Acquire the basis for protecting the value produced by science (intellectual property, open science), communicating properly at the time of internet (scientific communication, open science and internet ethics), protect our digital selves (privacy and personal data) and govern information systems (AI ethics)
  • Finally acquire an overview of some important ethical debates around information technologies, such as design ethics, the ethics of decision management, the ethics of data science, the ethics of autonomous systems, and global information ethics.

Description

What does integrity in research mean and why is it important to follow an ethical conduct in your research work? Entering a PhD programme, you are moving from a student’s position, where your main responsibility was to acquire and demonstrate acquisition of knowledge, into a position of producing knowledge. This creates new relationships with coworkers and your hosting institutions, new expectations, and new responsibilities towards science and society in general.

To help you understand these changes, the STIC doctoral school of the University Paris-Saclay provides this course to all its students. It balances a pragmatic “must know” perspective, which can and must be acquired easily and fast, with more conceptual developments aimed at opening you up to the uncertainties and risks that are specific to your scientific domain.

This course is focused on the specific types of ethical issues encountered in information technologies, which deserve specific attention. If answering an ethical dilemma in bioethics is often akin to answering the question "who are we?", technology ethics triggers more questions of the type "where are we going?". This, in our opinion, deserves a broad exposure.

    Format

    The course is organized in 9 chapters, more or less independent, but raising in abstraction as the course progresses. Each of these chapters includes:

    A lesson to be read by the student. As much as possible, the content is summarized in a set of checklists involving as few guidelines as possible, for easy memorization.

    Examples of how the material discussed may be relevant in their context of work. We provide “horror stories” and “happy stories” of past events relevant to the topic addressed, as well as questions and issues for the student to ponder over.

    References are hyperlinked in the course of the text, and a “further reading” section is sometimes provided.

    Finally, some validation questions are proposed after each section. To allow self-delivery of the material, the exercises are proposed as multiple choice questionnaires, which enable full automation of the test administration and certification process. The questions however demand attention and studying of various documents to be answered properly.

    Prerequisites

    This course is addressed to all PhD students and researchers in Information & Communication Sciences & Technologies, with no particular prerequisites.

    Assessment and certification

    The evaluation is focused on the “must know” part of the curriculum. It consists of about 100 multiple-choice questions. Those are meant to ensure the main rules and guidelines have been acquired, not to assess your ability to reason and develop critical thinking in this area, no matter how much we’d like to trigger that motivation.

    Besides the University of Paris-Saclay, several doctoral schools in France validate the badge delivered by this course as the mandatory training in scientific integrity and research ethics mandated by the ministerial ruling of 2016, as well as the training in Open Science mandated by the ministerial ruling of 2022.

    If you are a PhD student, you are advised to contact your doctoral school to check if they will validate this training as such.

    Course plan

    • The Doctoral Contract (researcher as a subject under law and an employee),
    • Research Integrity (producing science correctly),
    • Research Ethics (producing science responsibly),
    • Computer and Information Ethics (how these apply to your research context),
    • Intellectual property (researcher as a producer and consumer of value, open science),
    • Scientific Communication, Open Science and Internet Ethics (disseminating knowledge publicly),
    • Privacy and Personal data (protecting our digital selves),
    • Governance of information systems (AI Ethics & ethics of robotics)
    • Emerging issues in Computer and Information Ethics (what’s next, optional).

    Course team

    Thomas Baudel

    Categories

    Research Director at the IBM France Lab and member-at-large of the STICs doctoral school of the University Paris-Saclay

    Organizations

    Université Paris-Saclay

    License

    License for the course content

    All rights reserved

    "All rights reserved" is a copyright formality indicating that the copyright holder reserves, or holds for its own use, all the rights provided by copyright law.

    License for the content created by course participants

    Attribution-NonCommercial-NoDerivatives

    You are free to:

    • Share — copy and redistribute the material in any medium or format

    Under the following terms:

    • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
    • NonCommercial — You may not use the material for commercial purposes.
    • NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
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