10 found
Order:
  1.  98
    The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (1):99-120.
    Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, (...)
    Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   74 citations  
  2.  95
    15 Challenges for AI: Or What AI (Currently) Can’T Do.Thilo Hagendorff & Katharina Wezel - 2020 - AI and Society 35 (2):355-365.
    The current “AI Summer” is marked by scientific breakthroughs and economic successes in the fields of research, development, and application of systems with artificial intelligence. But, aside from the great hopes and promises associated with artificial intelligence, there are a number of challenges, shortcomings and even limitations of the technology. For one, these challenges arise from methodological and epistemological misconceptions about the capabilities of artificial intelligence. Secondly, they result from restrictions of the social context in which the development of applications (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  3.  13
    Forbidden Knowledge in Machine Learning Reflections on the Limits of Research and Publication.Thilo Hagendorff - forthcoming - AI and Society:1-15.
    Certain research strands can yield “forbidden knowledge”. This term refers to knowledge that is considered too sensitive, dangerous or taboo to be produced or shared. Discourses about such publication restrictions are already entrenched in scientific fields like IT security, synthetic biology or nuclear physics research. This paper makes the case for transferring this discourse to machine learning research. Some machine learning applications can very easily be misused and unfold harmful consequences, for instance, with regard to generative video or text synthesis, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  4.  7
    Privatsphäre 4.0: Eine Neuverortung des Privaten Im Zeitalter der Digitalisierung.Hauke Behrendt, Wulf Loh, Tobias Matzner, Catrin Misselhorn, Carsten Ochs, Charles Melvin Ess, Thilo Hagendorff, Dorota Mokrosinska, Titus Stahl, Sandra Seubert, Johannes Eichenhofer, Christian Djeffal, Eva Weber-Guskar, Jan-Felix Schrape & Sebastian Ostritsch - 2019 - J.B. Metzler.
    Wie lässt sich der Bereich des Privaten heute genau beschreiben? Welchen Wert besitzt Privatheit in digitalisierten Gesellschaften für den Einzelnen und die Gesellschaft als Ganzes? Welche Werte und Lebensformen werden durch Privatheit geschützt, welche eingeschränkt? Entstehen durch die Informationsasymmetrie zwischen Technologieunternehmen, staatlichen Verdatungsinstitutionen und Verbrauchern/Bürgern möglicherweise neue Machtstrukturen? Welche rechtlichen Implikationen ergeben sich hieraus? Dieser Band geht diesen und anderen Fragen, die sich im Hinblick auf die etablierte Gleichung von Freiheit und Privatheit stellen, nach und versucht Antworten zu finden.
    No categories
    Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   2 citations  
  5.  14
    Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - forthcoming - Minds and Machines:1-5.
    In the original publication of this article, the Table 1 has been published incorrectly. Now the same has been provided in this correction.
    Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   2 citations  
  6.  28
    From Privacy to Anti-Discrimination in Times of Machine Learning.Thilo Hagendorff - 2019 - Ethics and Information Technology 21 (4):331-343.
    Due to the technology of machine learning, new breakthroughs are currently being achieved with constant regularity. By using machine learning techniques, computer applications can be developed and used to solve tasks that have hitherto been assumed not to be solvable by computers. If these achievements consider applications that collect and process personal data, this is typically perceived as a threat to information privacy. This paper aims to discuss applications from both fields of personality and image analysis. These applications are often (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  7.  10
    Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning.Thilo Hagendorff - 2021 - Minds and Machines 31 (4):563-593.
    Machine behavior that is based on learning algorithms can be significantly influenced by the exposure to data of different qualities. Up to now, those qualities are solely measured in technical terms, but not in ethical ones, despite the significant role of training and annotation data in supervised machine learning. This is the first study to fill this gap by describing new dimensions of data quality for supervised machine learning applications. Based on the rationale that different social and psychological backgrounds of (...)
    Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   1 citation  
  8.  10
    Publisher Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (3):457-461.
    In the original publication of this article, the Table 1 has been published in a low resolution. Now a larger version of Table 1 is published in this correction. The publisher apologizes for the error made during production.
    Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   1 citation  
  9.  2
    Ethical considerations and statistical analysis of industry involvement in machine learning research.Thilo Hagendorff & Kristof Meding - forthcoming - AI and Society:1-11.
    Industry involvement in the machine learning community seems to be increasing. However, the quantitative scale and ethical implications of this influence are rather unknown. For this purpose, we have not only carried out an informed ethical analysis of the field, but have inspected all papers of the main ML conferences NeurIPS, CVPR, and ICML of the last 5 years—almost 11,000 papers in total. Our statistical approach focuses on conflicts of interest, innovation, and gender equality. We have obtained four main findings. (...)
    Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   2 citations  
  10. A Virtue-Based Framework to Support Putting AI Ethics into Practice.Thilo Hagendorff - 2022 - Philosophy and Technology 35 (3):1-24.
    Many ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, several AI ethics researchers have pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach. This paper proposes a complementary to the principled approach that is based on virtue ethics. It defines four “basic AI virtues”, namely justice, honesty, responsibility and care, all of which represent specific (...)
    No categories
    Direct download (3 more)  
    Translate
     
     
    Export citation  
     
    Bookmark