In an article titled "Societal Implications of Recommendation Systems: A Technical Perspective", Flávio Pinheiro, Assistant Professor in Data Science at NOVA IMS, explores the societal impacts of recommendation systems, particularly in the realm of AI and machine learning. Pinheiro emphasizes the importance of education regarding limitations and biases, advocates for diversity within coding teams, and underscores the need for data auditing and debiasing.

The article also highlights the necessity for transparency in algorithmic decision-making processes and discusses potential negative repercussions on society. Pinheiro proposes strategies to enhance the transparency and accountability of AI algorithms.

Find out more here.