Switch to: Citations

Add references

You must login to add references.
  1. What is data ethics?Luciano Floridi & Mariarosaria Taddeo - 2016 - Philosophical Transactions of the Royal Society A 374 (2083):20160360.
    This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing, and use), algorithms (including AI, artificial agents, machine learning, and robots), and corresponding practices (including responsible innovation, programming, hacking, and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data Ethics builds on the foundation provided by Computer and Information (...)
    Download  
     
    Export citation  
     
    Bookmark   56 citations  
  • Values and pragmatic action: The challenges of introducing ethical intelligence in technical design communities.Noëmi Manders-Huits & Michael Zimmer - 2009 - International Review of Information Ethics 10 (2):37-45.
    Various Value-Conscious Design frameworks have recently emerged to introduce moral and ethical intelligence into business and technical design contexts, with the goal of proactively influencing the design of technologies to account for moral and ethical values during the conception and design process. Two attempts to insert ethical intelligence into technical design communities to influence the design of technologies in ethical- and value-conscious ways are described, revealing discouraging results. Learning from these failed attempts, the article identifies three key challenges of pragmatic (...)
    Download  
     
    Export citation  
     
    Bookmark   18 citations  
  • From Individual to Group Privacy in Big Data Analytics.Brent Mittelstadt - 2017 - Philosophy and Technology 30 (4):475-494.
    Mature information societies are characterised by mass production of data that provide insight into human behaviour. Analytics has arisen as a practice to make sense of the data trails generated through interactions with networked devices, platforms and organisations. Persistent knowledge describing the behaviours and characteristics of people can be constructed over time, linking individuals into groups or classes of interest to the platform. Analytics allows for a new type of algorithmically assembled group to be formed that does not necessarily align (...)
    Download  
     
    Export citation  
     
    Bookmark   17 citations  
  • Big Data, Big Problems: Emerging Issues in the Ethics of Data Science and Journalism.Joshua Fairfield & Hannah Shtein - 2014 - Journal of Mass Media Ethics 29 (1):38-51.
    As big data techniques become widespread in journalism, both as the subject of reporting and as newsgathering tools, the ethics of data science must inform and be informed by media ethics. This article explores emerging problems in ethical research using big data techniques. It does so using the duty-based framework advanced by W.D. Ross, who has significantly influenced both research science and media ethics. A successful framework must provide stability and flexibility. Without stability, ethical precommitments will vanish as technology rapidly (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • The human use of human beings.Norbert Wiener - 1950 - Boston,: Houghton Mifflin.
    As this book reveals, his vision was much more complex and interesting. He hoped that machines would release people from relentless and repetitive drudgery in order to achieve more creative pursuits.
    Download  
     
    Export citation  
     
    Bookmark   109 citations  
  • Towards Ethical Information Systems: The Contribution of Discourse Ethics.John Mingers & Geoff Walsham - 2008 - Kent Business School.
    With globalization, environmental problems and significant failures in corporate governance, business ethics is perceived to be of increasing importance. This is particularly so for IS because of the huge social effects of new technologies. Yet there has been relatively little discussion of ethics in the IS literature and no clear consensus has emerged. This paper argues that Habermas’s discourse ethics can make a major, and practical, contribution. After outlining some major ethical theories and how they have been interpreted in business (...)
    Download  
     
    Export citation  
     
    Bookmark   16 citations  
  • Using Ethical Reasoning to Amplify the Reach and Resonance of Professional Codes of Conduct in Training Big Data Scientists.Rochelle E. Tractenberg, Andrew J. Russell, Gregory J. Morgan, Kevin T. FitzGerald, Jeff Collmann, Lee Vinsel, Michael Steinmann & Lisa M. Dolling - 2015 - Science and Engineering Ethics 21 (6):1485-1507.
    The use of Big Data—however the term is defined—involves a wide array of issues and stakeholders, thereby increasing numbers of complex decisions around issues including data acquisition, use, and sharing. Big Data is becoming a significant component of practice in an ever-increasing range of disciplines; however, since it is not a coherent “discipline” itself, specific codes of conduct for Big Data users and researchers do not exist. While many institutions have created, or will create, training opportunities to prepare people to (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • Big Data ethics.Andrej Zwitter - 2014 - Big Data and Society 1 (2).
    The speed of development in Big Data and associated phenomena, such as social media, has surpassed the capacity of the average consumer to understand his or her actions and their knock-on effects. We are moving towards changes in how ethics has to be perceived: away from individual decisions with specific and knowable outcomes, towards actions by many unaware that they may have taken actions with unintended consequences for anyone. Responses will require a rethinking of ethical choices, the lack thereof and (...)
    Download  
     
    Export citation  
     
    Bookmark   33 citations  
  • Big data and algorithmic decision-making.Paul B. de Laat - 2017 - Acm Sigcas Computers and Society 47 (3):39-53.
    Decision-making assisted by algorithms developed by machine learning is increasingly determining our lives. Unfortunately, full opacity about the process is the norm. Can transparency contribute to restoring accountability for such systems? Several objections are examined: the loss of privacy when data sets become public, the perverse effects of disclosure of the very algorithms themselves, the potential loss of competitive edge, and the limited gains in answerability to be expected since sophisticated algorithms are inherently opaque. It is concluded that transparency is (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • The Human Use of Human Beings.Norbert Wiener - 1952 - British Journal for the Philosophy of Science 3 (9):91-92.
    Download  
     
    Export citation  
     
    Bookmark   60 citations  
  • Privacy exchanges: restoring consent in privacy self-management.Mario Pascalev - 2017 - Ethics and Information Technology 19 (1):39-48.
    This article reviews the qualitative changes that big data technology introduced to society, particularly changes that affect how individuals control the access, use and retention of their personal data. In particular interest is whether the practice of privacy self-management in this new context could still ensure the informed consent of individuals to the privacy terms of big data companies. It is concluded that that accepting big data companies’ privacy policies falls short of the disclosure and understanding requirements for informed consent. (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations