The 'data' bit of Data Protection

In the latest episode of the IG Lighthouse podcast, host Scott Sammons delves into the often-overlooked aspect of data protection: data itself. As the digital landscape evolves, understanding the nuances of data management becomes crucial for data protection professionals.

Scott highlights the traditional focus on structured records and systems within data protection, noting a gap in addressing the raw data elements. He emphasizes the importance of understanding data quality, value, and ethical considerations, especially as predictive analytics and AI become more prevalent.

The episode explores the ethical dilemmas posed by data-driven models, such as the controversial use of placing causation on things such as postcodes in algorithms. Scott urges data protection officers (DPOs) to scrutinize the data used in decision-making processes, ensuring that correlations are not mistaken for causations.

Scott questions whether DPOs should expand their expertise to include data science fundamentals. He suggests that while not necessary, a basic understanding of data operations and mathematics can enhance a DPO's ability to provide relevant advice and challenge flawed data models.

As data becomes an integral part of data protection, professionals must adapt to the changing landscape. Scott recommends resources like Cathy O'Neill's "Weapons of Math Destruction" and encourages DPOs to engage with data ethics and governance literature to stay ahead.

Subscribe now to stay informed on the evolving role of data in data protection and join the conversation on ethical data management.

Links mentioned in the episode:

  • Spurious Correlations

  • Weapons of Math Destruction by Cathy O'Neil

  • Ethical Data and Information Management by Katherine O'Keefe and Daragh O Brien

  • Data Ethics by Katherine O'Keefe and Daragh O Brien

Previous
Previous

How to develop your own development:

Next
Next

Why does retention keep being deleted?