Jessie J. Smith

Jessie J. SmithJessie J. SmithJessie J. Smith

Jessie J. Smith

Jessie J. SmithJessie J. SmithJessie J. Smith
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Peer-Reviewed Publications & Accepted Content

Casey Fiesler, Solon Barocas, Augustin Chaintreau, Jessie Smith, and Michael Zimmer. Translation Tutorial: A Crash Course in Motivating, Supporting, and Expanding Ethical Thinking in the Tech Classroom. March 2021. Accepted into Tutorials at the Proceedings of FAccT 2021.

Dylan Doyle-Burke and Jessie J. Smith. “What is Radical AI? Towards a Common Definition and our Collective Liberation.” Nov. 2020. Accepted into the Resistance AI Workshop at the Proceedings of NeurIPS 2020.

Smith, Jessie, et al. “Exploring User Opinions of Fairness in Recommender Systems.” ArXiv:2003.06461 [Cs], Mar. 2020. arXiv.org, http://arxiv.org/abs/2003.06461 Fair and Responsible AI Workshop at The Proceedings of CHI 2020

Casey Fiesler, Mikhaila Friske, Natalie Garrett, Felix Muzny, Jessie J. Smith, Jason Zietz “Integrating Ethics into Introductory Programming Classes”. Accepted in the Proceedings of SIGCSE 2021, Virtual Conference. 

Mansoury, M., Abdollahpouri H., Smith J., Dehpanah A., Pechenizkiy M., Mobasher, B. “Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems.” Proceedings of the Thirty-Third International Florida Artifical Intelligence Research Society Conference. ArXiv:2002.07786 [Cs], Feb. 2020. arXiv.org, http://arxiv.org/abs/2002.07786. 

Pinter, A. T., Paul, J. M., Smith, J., & Brubaker, J. R. (2020). P4KxSpotify: A Dataset of Pitchfork Music Reviews and Spotify Musical Features. Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 895-902. Retrieved from https://www.aaai.org/ojs/index.php/ICWSM/article/view/7355 

Vito Walter Anelli, Amra Delić, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, and Wenzhe Shi. 2020. RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline. In Fourteenth ACM Conference on Recommender Systems (RecSys '20). Association for Computing Machinery, New York, NY, USA, 623–627. https://doi.org/10.1145/3383313.3411532

Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fon, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael Bronstein, Amra Delić, Gabriele Sottocornola, Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi "Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline". arXiv:2004.13715 [Cs], April. 2020. arXiv.org, https://arxiv.org/abs/2004.13715



Photos Courtesy of Jess ✌️