An MBZUAI team led by Thamar Solorio and Monojit Choudhury received a Google Academic Research Award to study how AI can better understand and respond to human loneliness in digital spaces. The project will examine how loneliness is expressed online, how conversational agents can detect it, and what healthier AI companionship could look like in collaboration with Georgia Tech. The team aims to define digital loneliness and its expression in online conversations with AI. Why it matters: This research addresses a growing global issue by exploring the ethical and psychological implications of AI companionship, potentially leading to safer and more beneficial AI interactions.
MBZUAI has received a Google Academic Research Award to study how AI can better understand and respond to human loneliness in digital spaces. The project will examine how loneliness is expressed online, how conversational agents can detect it, and what healthier AI companionship could look like. The research aims to define digital loneliness and address the potential negative impacts of AI chatbots on users.
In a 2018 KAUST lecture, MIT professor Kamal Youcef-Toumi discussed the case of Ordos Kangbashi, a Chinese city designed for a million residents that became a near-ghost town. Despite government incentives, the city struggled due to an economic downturn and lack of social and economic balance. Youcef-Toumi emphasized the importance of the public realm and a balance between social and economic development for successful cities. Why it matters: The analysis provides insights relevant to urban planning in Saudi Arabia and the broader GCC region, where new cities and megaprojects are being developed.
British author and explorer Alastair Humphreys visited KAUST as part of the Enrichment in the Spring program. Humphreys, known for trekking across the Empty Quarter, shared his adventures with the KAUST community. The event aimed to bring a sense of adventure to the university. Why it matters: Such events enhance the cultural and intellectual environment at KAUST, fostering a broader perspective among students and faculty.
MBZUAI Executive Program participants gathered for community-building activities on Jubail Island, including a mangrove walk and dinner. MBZUAI President Eric Xing emphasized the opportunity to build partnerships and an AI community. The event aimed to foster collaboration and understanding among participants to drive positive AI progress. Why it matters: Such initiatives can help bridge divides between organizations and facilitate the responsible development of AI in the UAE.
KAUST's Winter Enrichment Program (WEP) 2021, themed "connectivity," will take place virtually from January 10-21 with over 60 speakers. The program will explore various facets of connectivity, from technological advancements to personal relationships, and address both its benefits and challenges, such as cybersecurity threats. The program was planned before the pandemic but its themes have only become more relevant. Why it matters: The WEP program provides a platform for discussing the evolving role of connectivity in a rapidly changing world, with a focus on technology and society.
A new mini-batch strategy using aggregated relational data is proposed to fit the mixed membership stochastic blockmodel (MMSB) to large networks. The method uses nodal information and stochastic gradients of bipartite graphs for scalable inference. The approach was applied to a citation network with over two million nodes and 25 million edges, capturing explainable structure. Why it matters: This research enables more efficient community detection in massive networks, which is crucial for analyzing complex relationships in various domains, but this article has no clear connection to the Middle East.