Human-Centered Machine Learning
Human-Centered Machine Learning
Fiebrink, Rebecca; Gillies, Marco; Ramos, Gonzalo
Cambridge University Press
07/2026
357
Dura
Inglês
9781108836753
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Introduction Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos; Part I. Human-Centered Machine Learning in the Arts and Humanities: 2. Interviews: people Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos; 3. Humanities and human-centered machine learning David Mimno and Laure Thompson; 4. Machine learning in movement-based interaction for performing arts applications Frederic Bevilacqua, Jules Francoise, Sarah Fdili Alaoui and Baptiste Caramiaux; Part II. Doing Human-Centered Machine Learning: 5. Measuring the user experience of human-centered machine learning: trust, intelligibility, and more Simone Stumpf and Alison Smith-Renner; 6. Data for machine learning: a human-centered perspective of crowdsourcing Edith Law and Ming Yin; 7. REDesigning AI products and services: benefits, challenges, and ideas for improving design practice Jodi Forlizzi, John Zimmerman, Qian Yang, Changhoon Oh and Nur Yildirim; Part III. Humans and Machine Learning: 8. Human-centered explainable AI (XAI): from algorithms to user experiences Q Vera Liao and Kush R. Varshney; 9. Humans teaching machine learning agents Samantha Krening; 10. Modeling the social and normative context of human-agent interactions Marynel Viazquez, Hatice Gunes, Tom Williams and Ryan Blake Jackson; 11. Interviews: teams Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos; Part IV. Machine Learning in Its Social Context: 12. A use-appraise-modify-create learning progression (UAMC) and a machine learning education framework (MLEF) for the development of AI-engaged citizens Natalie Lao and Irene Lee; 13. Artificially intelligent technology for the margins: reflecting on challenges and opportunities Tanja Aal, Jasmin Niess, Konstantin Aal, Douglas Zytko, Soaad Hossain, Giovanna Nunes Vilaza, Reem Talhouk, Heloisa Caroline de Souza Pereira Candello, Evangelos Kapros, Maria Koutsombogera, Franziska Tachtler, Daniel Diethei, Mohammed Khwaja, Shaimaa Lazem, Aneesha Singh, Marguerite Barry, Geraldine Fitzpatric, Volker Wulf and Claudia Mueller; 14. The anatomy of the saliency cropping leviathan Vinay Uday Prabhu and Abeba Birhane; Part V. Machine Learning and Humanity: 15. Interviews: humanity Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos; 16. Conclusion Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos.
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1. Introduction Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos; Part I. Human-Centered Machine Learning in the Arts and Humanities: 2. Interviews: people Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos; 3. Humanities and human-centered machine learning David Mimno and Laure Thompson; 4. Machine learning in movement-based interaction for performing arts applications Frederic Bevilacqua, Jules Francoise, Sarah Fdili Alaoui and Baptiste Caramiaux; Part II. Doing Human-Centered Machine Learning: 5. Measuring the user experience of human-centered machine learning: trust, intelligibility, and more Simone Stumpf and Alison Smith-Renner; 6. Data for machine learning: a human-centered perspective of crowdsourcing Edith Law and Ming Yin; 7. REDesigning AI products and services: benefits, challenges, and ideas for improving design practice Jodi Forlizzi, John Zimmerman, Qian Yang, Changhoon Oh and Nur Yildirim; Part III. Humans and Machine Learning: 8. Human-centered explainable AI (XAI): from algorithms to user experiences Q Vera Liao and Kush R. Varshney; 9. Humans teaching machine learning agents Samantha Krening; 10. Modeling the social and normative context of human-agent interactions Marynel Viazquez, Hatice Gunes, Tom Williams and Ryan Blake Jackson; 11. Interviews: teams Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos; Part IV. Machine Learning in Its Social Context: 12. A use-appraise-modify-create learning progression (UAMC) and a machine learning education framework (MLEF) for the development of AI-engaged citizens Natalie Lao and Irene Lee; 13. Artificially intelligent technology for the margins: reflecting on challenges and opportunities Tanja Aal, Jasmin Niess, Konstantin Aal, Douglas Zytko, Soaad Hossain, Giovanna Nunes Vilaza, Reem Talhouk, Heloisa Caroline de Souza Pereira Candello, Evangelos Kapros, Maria Koutsombogera, Franziska Tachtler, Daniel Diethei, Mohammed Khwaja, Shaimaa Lazem, Aneesha Singh, Marguerite Barry, Geraldine Fitzpatric, Volker Wulf and Claudia Mueller; 14. The anatomy of the saliency cropping leviathan Vinay Uday Prabhu and Abeba Birhane; Part V. Machine Learning and Humanity: 15. Interviews: humanity Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos; 16. Conclusion Rebecca Fiebrink, Marco Gillies and Gonzalo Ramos.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.