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Intelligent vision systems: techniques and ethics

    Research output: Contribution to conferencePresentation

    Abstract

    Intelligent Vision Systems, which are systems able to automatically process visual inputs such as raw still pictures or live video feeds, whatever they are equipped with camera(s) or directly access image databases, have become ubiquitous in our Society. Indeed, they can be found in a multitude of real-world applications such as video surveillance, m-health services, drones, companion robots, etc. Therefore, such intelligent vision systems must be both efficient and ethical. Thus, this tutorial introduces the topic of intelligent vision systems in light of the main technical and ethical challenges in that research field and the developed solutions and standards based on explainable artificial intelligence and transparent computer vision approaches.
    Original languageEnglish
    Publication statusPublished - 21 Feb 2019
    EventInternational Conference on Agents and Artificial Intelligence - Prague, Czech Republic
    Duration: 19 Feb 201921 Feb 2019
    http://www.icaart.org/?y=2019

    Conference

    ConferenceInternational Conference on Agents and Artificial Intelligence
    Abbreviated titleICAART
    Country/TerritoryCzech Republic
    CityPrague
    Period19/02/1921/02/19
    Internet address

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure
    2. SDG 12 - Responsible Consumption and Production
      SDG 12 Responsible Consumption and Production
    3. SDG 16 - Peace, Justice and Strong Institutions
      SDG 16 Peace, Justice and Strong Institutions

    Keywords

    • Explainable AI (XAI)
    • Transparency and ethical issues
    • Privacy
    • Safety and security
    • Image and video processing
    • Image and video analysis and understanding
    • Pattern recognition
    • Vision and perception
    • Machine learning
    • Knowledge representation and reasoning
    • Robotics
    • Autonomous systems
    • Intelligent agents

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