Social sciences
Studying how people, societies, and technology shape one another to create more equitable and effective computing experiences.
Panel Discussion: AI for Societal Impact
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
Gamifier Policies : A Tool for Creating a Holistic Healthcare Ecosystem
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
KauwaKaate: A Platform for Fake-news Verification
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
Track: AI for Societal Impact
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
Panel Discussion: Challenges & Opportunities in AI
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
Academic Research Summit 2019 on Data Science and AI – Welcome Session
Academic Research Summit 2019 introduction and welcome.
Machine Learning and Fairness
Originally a discipline limited to academic circles, machine learning is now increasingly mainstream, being used in more visible and impactful ways. While this growing field presents huge opportunities, it also comes with unique challenges, particularly…
Learning Challenges in Natural Language Processing
As the availability of data for language learning grows, the role of linguistic structure is under scrutiny. At the same time, it is imperative to closely inspect patterns in data which might present loopholes for…
