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MichiganX: Data Science Ethics

Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.

4 semanas
3–4 horas por semana
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Hay una sesión disponible:

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Comienza el 29 mar
Termina el 31 ago

Sobre este curso

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As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.

This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws.

Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.

De un vistazo

  • Institución: MichiganX
  • Tema: Informática
  • Nivel: Introductory
  • Prerrequisitos:

    The ability to think critically about the impact of one's decisions.

  • Idioma: English
  • Transcripción de video: English
  • Habilidades asociadas:Data Science, Algorithms, Medical Records, Data Sharing

Lo que aprenderás

Omitir Lo que aprenderás
  • Who owns data
  • How we value different aspects of privacy
  • How we get informed consent
  • What it means to be fair

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