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Ethical AI for Social Good

Akula, Ramya, Garibay, Ivan·2021·Lecture Notes in Computer Science

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Research works printed but not linked: 13

  1. Al-Abdulkarim, L., Atkinson, K., Bench-Capon, T.: Factors, issues and values: revisiting reasoning with cases. In: Proceedings of the 15th International Conference on Artificial Intelligence and Law, pp. 3–12 (2015) · DOI
  2. Burns, A., Rabins, P.: Carer burden in dementia. Int. J. Geriatr. Psychiatry 15(S1), S9–S13 (2000) · DOI
  3. Butler, D.: Ai summit aims to help world’s poorest. Nat. News 546(7657), 196 (2017) · DOI
  4. Eicher, B., Polepeddi, L., Goel, A.: Jill Watson doesn’t care if you’re pregnant: grounding AI ethics in empirical studies. In: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, pp. 88–94 (2018) · DOI
  5. Fang, F., et al.: Deploying paws: field optimization of the protection assistant for wildlife security. In: Twenty-Eighth IAAI Conference (2016) · DOI
  6. Lakkaraju, H., et al.: A machine learning framework to identify students at risk of adverse academic outcomes. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1909–1918 (2015) · DOI
  7. Lu, H., et al.: A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic-and molecular-phenotypes of epithelial ovarian cancer. Nat. Commun. 10(1), 1–11 (2019) · DOI · Paper page
  8. Mathur, V., Stavrakas, Y., Singh, S.: Intelligence analysis of Tay twitter bot. In: 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), pp. 231–236. IEEE (2016) · DOI
  9. Oliver, N.: Big data for social good: opportunities and challenges. In: 12th World Telecommunication/ICT Indicators Symposium (WTIS 2014) [Date of reference 20 May 2015] (2014). http://www.itu.int/en/ITU-D/Statistics/Documents/events/wtis2014/003INF-E.pdf
  10. Petersen, E.E., et al.: Vital signs: pregnancy-related deaths, united states, 2011–2015, and strategies for prevention, 13 states, 2013–2017. Morb. Mortal. Wkly Rep. 68(18), 423 (2019)
  11. Taddeo, M., Floridi, L.: Regulate artificial intelligence to avert cyber arms race (2018) · DOI
  12. Yadav, A., et al.: POMDPs for assisting homeless shelters – computational and deployment challenges. In: Osman, N., Sierra, C. (eds.) AAMAS 2016. LNCS (LNAI), vol. 10003, pp. 67–87. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46840-2_5 · DOI
  13. Zhou, W., Kapoor, G.: Detecting evolutionary financial statement fraud. Decis. Support Syst. 50(3), 570–575 (2011) · DOI · Paper page

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Metadata

Authors
Akula, R., & Garibay, I.
Venue
Lecture Notes in Computer Science
Published
2021
Pages
369-380
ISSN
  • 0302-9743
  • 1611-3349
Cited by
8
References
1
Language
en

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