AI is altering not only local and global society, but what it means to be human, or, to be
counted as such. In the midst of concerns about the ethics of AI, calls are emerging for AI to …

A current problem in NLP is massaging and processing low-resource languages which lack
useful training attributes such as supervised data, number of native speakers or experts, etc …

Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to
low-resourced languages has not yet been adequately solved." Low-resourced"-ness is a …

We present the MASSIVE dataset--Multilingual Amazon Slu resource package (SLURP) for
Slot-filling, Intent classification, and Virtual assistant Evaluation. MASSIVE contains 1M …

In this paper we share findings from our effort to build practical machine translation (MT)
systems capable of translating across over one thousand languages. We describe results in …

The deployment of artificial intelligence (AI) technologies is proliferating on the African
continent, but policy responses are still at their early stages. This article provides an …

Datasets are foundational to many breakthroughs in modern artificial intelligence. Many
recent achievements in the space of natural language processing (NLP) can be attributed to …

India has a rich linguistic landscape with languages from 4 major language families spoken
by over a billion people. 22 of these languages are listed in the Constitution of India …

In many countries, mental health issues are among the most serious public health concerns.
National mental health statistics are frequently collected from reported patient cases or …

As the harms of hate speech, mis/disinformation and incitement to violence on social media
have become increasingly apparent, calls for regulation have accelerated. Most of these …