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Responsible data science is a responsibility for all.

Isabelle Fest1, Maranke Wieringa2,3, Ben Wagner4,5

  • 1Utrecht School of Governance, Utrecht University, Utrecht 3511ZC, the Netherlands.

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Summary
This summary is machine-generated.

Data professionals face a gap between ethical regulations and daily work. Collaboration is key for interdisciplinary research and data scientists

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Area of Science:

  • Data Science
  • Ethics in Technology
  • Regulatory Compliance

Background:

  • Qualitative study by TU Delft and Utrecht University examines the disconnect between established ethical and legal frameworks and the practical application of data science.
  • Investigates the challenges faced by data professionals in adhering to regulations within their day-to-day operations.

Discussion:

  • Highlights the critical role of interdisciplinary collaboration in achieving successful research outcomes in data science.
  • Emphasizes the ethical responsibilities incumbent upon data scientists to protect public interests and uphold societal values.
  • Explores the practical implications of regulatory gaps on data professionals' workflows and decision-making processes.

Key Insights:

  • A significant disparity exists between data governance policies and the real-world practices of data professionals.
  • Interdisciplinary teamwork is essential for navigating complex data science research projects effectively.
  • Data scientists bear a crucial responsibility for ethical conduct and public welfare.

Outlook:

  • Recommends strategies for bridging the gap between regulatory ideals and practical data science implementation.
  • Suggests fostering stronger collaborations between academic institutions, industry, and regulatory bodies.
  • Advocates for continuous dialogue and adaptation of ethical guidelines to evolving data landscapes.