23 Matching Annotations
  1. Oct 2025
  2. Feb 2025
  3. Jan 2025
    1. roadmap

      Dividido em: * Human rights due diligence, including human rights and data protection impact assessments * Purpose and necessity * Proportionality * Data protection safeguards * Transparency * Public-private partnerships

      Gosto, especialmente de Purpose and necessity.

    2. even in scenarios where the technology is exceptionally well-trained and devoid of technical flaws — which remains highly improbable48there is a critical need to address its inherent capacity to categorisestudents into distinct datasets

      E nós, pessoalmente, não estamos também sujeitos aos mesmos viéses?

      Pigmaleão!

      No entanto, tal não é replicável para outros atores nem permanente.

    3. EdTech as technology or software thatcan be used in educational settings that involves the electronic processingof users’ data, in particular student’s data.3 This includes software usedfor behaviour management, for education administration purposes, andsoftware used to assist with teaching lessons and providing educationalmaterials.

      EdTech (technology or software that can be used in educational settings for electronic processing of users’ data, in particular student’s data): * behaviour management, * education administration purposes * assist with teaching lessons * providing educational materials

      Cada categoria é ilustrada nos parágrafos seguintes.

    4. 1. Face detection involves an image being processed to detect a faceusing cameras with software that collects and processes data about anindividual’s face.2. Face printing occurs when the software extracts facial features andsummarises these features into numbers to make a “face print,” which is asunique as a fingerprint.3. Face matching occurs when the software tries to match two or morefaceprints to determine if they are the face of the same person.

      Define o que é a tecnologia de reconhecimento facial. Na realidade, de deteção, perfilagem e reconhecimento.

    5. 02 Facial recognition in EdTechKey concerns with FRT in educational spaces 0303 3.1 Erosion of Privacy3.2 Lack of data protection safeguards3.3 Surveillance and securitisation3.4 Children’s development3.5 Discrimination: effectiveness and categorisation3.6 Role of private sector

      Praticamente o conteúdo todo - o contrúdo consiste no desenvolvimento (breve) de cada um dos temas.

      Os problemas da introdução de TRF na educação: * Erosion of Privacy * Lack of data protection safeguards * Surveillance and securitisation * Children’s development * Discrimination: effectiveness and categorisation * Role of private sector

      No final ainda há lugar a um "plano" para harmonizar a introdução da tecnologia de reconhecimento facial (TRF) com os direitos humanos.

    6. These issues include the erosion of privacy; the lack ofdata protection safeguards; the securitisation of educational spaces -thatundermines the learning and growth processes-; the negative impact onchildren’s development; the perpetuation of bias and discrimination; as wellas the role of private interests therei

      Mais uma vez, a lista de problemas (tal como no índice).

  4. Dec 2024