When we talk about data and AI ethics, we typically view this through a privacy lens.
That is, someone’s personal data has either been compromised and ended up in the wrong hands, or personal data is used to manipulate or create adverse outcomes for individuals or minority groups.
These factors are still fundamental to AI ethics, but there is now also a big focus on the broader social impact of AI, including human rights, data privacy and using AI for good.
Enter the concept of data pollution.
The data pollution paradigm describes how the use and intentional or unintentional sharing of personal data can create social harm – not just private harm affecting only the individuals included in the dataset.
To understand the concept of data pollution and its impact on individual privacy and society as a whole, I recently spoke to Gianclaudio Malgieri.
Gianclaudio is Associate Professor of Law and Technology at the Augmented Law Institute of EDHEC Business School (Lille, France), Co-Director of the Brussels Privacy Hub, lecturer in IP and Data Protection and an expert in privacy, data protection, intellectual property, law and technology, EU law and human rights.
In this episode of Leaders of Analytics, we discuss:
- The evolution of data and AI ethics over the last 20 years
- Why data protection is so important to the future of our society as we know it
- What data pollution is and why we should care about it
- What we can do to create data sustainability
- What business leaders, legislators and legal professionals can do to deal with AI sustainability issues, and much more.
Gianclaudio's website: https://www.gianclaudiomalgieri.eu/
Gianclaudio on LinkedIn: https://www.linkedin.com/in/gianclaudio-malgieri-410718a1/
Brussels Privacy Hub: https://brusselsprivacyhub.eu/