UK Algoshambles, Neuralink, GPT-3 and Intelligence
Machine Learning Street Talk (MLST)
00:00
Algorithmic Grading in Education
This chapter examines the controversial role of algorithms in student grading, focusing on their ethical implications and biases stemming from historical performance data. The discussion reveals the tension between traditional grading methods and the need for individual assessments, particularly in the context of smaller class sizes and the impact of socioeconomic factors. It also highlights public mistrust of algorithmic decision-making, emphasizing the need for transparency and ethical considerations in educational contexts.
Transcript
Play full episode
