Machine Learning for Embodied Design in Virtual Reality
Much of my research has tried to create virtual characters that are able to interact with real people via body language in immersive virtual reality. While some very simple models can create impressive effects and…
Teaching AI to make decisions and communicate
The term ‘Artificial Intelligence’ may have been coined way back in the 1950s, but we have yet to see the types of machines described in books and films. In our daily lives and workplaces, we…
FATE: Fairness, Accountability, Transparency & Ethics in AI
We study the complex societal implications of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Our aim is to facilitate computational techniques that are both innovative and responsible, while prioritizing issues of…
Antisocial Computing: Explaining and Predicting Negative Behavior Online
Antisocial behavior and misinformation are increasingly prevalent online. As users interact with one another on social platforms, negative interactions can cascade, resulting in complex changes in behavior that are difficult to predict. My research introduces…
Scalable Systems for Fast and Easy Machine Learning
“Machine learning models trained on massive datasets power a number of applications; from machine translation to detecting supernovae in astrophysics. However the end of Moore’s law and the shift towards distributed computing architectures presents many…
The next challenges for reinforcement learning
Recent years have seen great progress for AI. In particular, artificial agents have learned to classify images and recognize speech at near-human level. However, for artificial agents to reach their full potential, they should not…