微软研究院
Studying how people, societies, and technology shape one another to create more equitable and effective computing experiences.
Advances in AI promise great benefit to people and organizations. However, as we push the science of AI forward, we need to consider potential downsides, unintended consequences and costly outcomes. Challenges include ethical and legal…
Effective coordination of post-disaster relief operations depends critically on the availability of reliable situational information, as well as on citizen participation in the operations. The advent of online social media (e.g., Twitter, Facebook) and the…
As the interaction over the web has increased, incidents of aggression and related events like trolling, cyberbullying, flaming, hate speech, etc. too have increased manifold across the globe. While most of these behaviours like bullying…
Voice-driven automated agents such as personal assistants are becoming increasingly popular. However, in a multilingual and multi-cultural country like India, deploying such agents to engage with large sections of the population is highly challenging. A…
Most of the AI systems today are driven by three key components (i) data (ii) common sense knowledge and (iii) powerful learning algorithms which can harness this data and knowledge to learn task specific meaningful…
An introduction to ethnography for Artificial Intelligence as well as conversational analysis and its relevance to AI.
