Ricardo Baeza-Yates Professor of the Practice and Director of Research at the Experiential AI Institute r.baeza-yates@northeastern.edu Expertise algorithms, data science, Information retrieval, Responsible AI, Web search and data mining Ricardo Baeza-Yates in the Press Fact Check- Image does not show ‘last Neanderthal giant’ Ricardo Baeza-Yates, director of research at the Experiential AI Institute at Northeastern University (www.baeza.cl/spanish.html), also reviewed the image for Reuters and highlighted a few other problems with it, such as backgrounds with different contrast, variable resolution, missing eyes, and shadows that are not consistent. Forbes 12 Tech Experts Share Important Information Everyone Should Know About Voice-Activated Tech Voice-based assistants encode biases present in the training examples. These include accent understanding, gender bias, geographic bias, religious bias and so on. Awareness of these biases is the first step. In the near future I expect research will be carried out to understand the impact of these biases on consumers—in the same way that biases […] Ricardo Baeza-Yates for Northeastern Global News A pandemic lesson from Chile: Data transparency can save lives A pandemic lesson from Chile: Data transparency can save lives Ricardo Baeza-Yates, a director of data science at Northeastern’s Silicon Valley campus, has found that the official numbers reported by Chilean President Sebastián Piñera’s government belie the true scale of the COVID-19 outbreak in his native country. As the country eases its mitigation measures in an effort to reactivate its economy, he fears that a resurgence of cases could be on the horizon.
Fact Check- Image does not show ‘last Neanderthal giant’ Ricardo Baeza-Yates, director of research at the Experiential AI Institute at Northeastern University (www.baeza.cl/spanish.html), also reviewed the image for Reuters and highlighted a few other problems with it, such as backgrounds with different contrast, variable resolution, missing eyes, and shadows that are not consistent.
Forbes 12 Tech Experts Share Important Information Everyone Should Know About Voice-Activated Tech Voice-based assistants encode biases present in the training examples. These include accent understanding, gender bias, geographic bias, religious bias and so on. Awareness of these biases is the first step. In the near future I expect research will be carried out to understand the impact of these biases on consumers—in the same way that biases […]