Data Bias Challenges
The discussion highlights the inevitable bias present in datasets derived from the Internet, where the abundance of visual information can lead to skewed representations. Kate emphasizes the historical shift from manually curated data to the current data gold rush, raising awareness about the ethical implications of relying on vast, unfiltered sources. Despite not focusing on bias in her research, she acknowledges the importance of addressing these concerns as AI continues to evolve.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
More Language, Less Labeling with Kate Saenko - #580
Related Questions
Are there biases in AI as discussed in the episode More Language, Less Labeling with Kate Saenko - #580 and the clip Image Captioning Advances?
Are there biases in AI as discussed in the episode More Language, Less Labeling with Kate Saenko - #580 and the clip Image Captioning Advances?
Are there biases in AI?