Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook
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Such frameworks are crucial in ensuring AI systems are built with core emphasis on ethical considerations, fairness, and transparency, addressing bias mitigation, privacy and security, and AI ethics for accountability.
“Such frameworks are crucial in ensuring AI systems are built with a core emphasis on ethical considerations, fairness, and transparency, as they address critical aspects such as bias mitigation for fairness, privacy and security concerns for data protection, and AI ethics for accountability, thus responding to the evolving landscape where accountability in AI is of paramount importance [214], [15]”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [214]
Ethical considerations and legal compliance have become increasingly crucial as AI technologies evolve and integrate into sectors, requiring focus on developing 'Ethical AI Frameworks'.
“As AI technologies rapidly evolve and become more integrated into various sectors, ethical considerations and legal compliance have become increasingly crucial, which requires a focus on developing 'Ethical AI Frameworks', a new category in our taxonomy reflecting the trend towards responsible AI development in generative AI [214], [215], [15], [216], [217].”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [214]
Adoption of these ethical initiatives remains uneven, highlighting ongoing need for comprehensive and consistent ethical practices in AI development and deployment.
“However, the adoption of these initiatives remains uneven, highlighting the ongoing need for comprehensive and consistent ethical practices in AI development and deployment [214].”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [214]
AI ethics focuses on fairness, accountability, and societal impact, addresses ethical challenges posed by AI's increasing complexity and potential misalignment with human values, and requires ethical governance frameworks, multidisciplinary collaborations, and technological solutions.
“The field of AI ethics focuses on fairness, accountability, and societal impact, addresses the surge in ethical challenges posed by AI's increasing complexity and potential misalignment with human values, and requires ethical governance frameworks, multidisciplinary collaborations, and technological solutions [214], [235], [15], [236].”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [214]
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Self-citationLin, B., Cecchi, G., & Bouneffouf, D. (2023) · International World Wide Web Conference (WWW) · doi:10.1145/3543873.3587623 · Cited by 11 · see citing works
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Self-citation
Flagged first, then by citations
1 of the 187 references couldn’t be matched to a known paper.
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MediCore Deep Learning Framework for Predictive Healthcare
Chowdary, B., Krishna, K. S. R., Charvitha, V., Aishwarya, S., Pragna, R., & Kishore, N. (2026) · International conference Computer Networks and Inventive Communication Technologies · doi:10.1109/iccnct68477.2026.11589977
- Authors
- Lin, B.
- Affiliations
- Columbia University (US)
- Corresponding author
- Lin, Baihan
- ORCID
- Lin, Baihan
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2024-03
- Volume
- 238
- Pages
- 122254
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W4387807193
- Cited by
- 28
- References
- 187
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 12 · 2023: 2
- FWCI
- 2.64
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Expert Systems with Applications (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Advanced Bandit Algorithms Research
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- reinforcement learning, multi-armed bandits, speech processing, natural language processing, large language models, deep neural network training, adaptive models, interactive model, scalable models
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