The article discusses the potential of AI-enabled assistive technologies to empower People with Disabilities (PWD), citing that over one billion people live with some form of disability globally. It highlights examples like communication tools, assistive robots, and smart visual aids, and emphasizes the need to address security and privacy concerns. The author, Ishfaq Ahmad from the University of Texas at Arlington, points out that with a growing global population, over two billion people will need assistive products by 2030. Why it matters: The piece advocates for using AI to tackle critical human rights issues and improve the lives of a significant portion of the global population in the face of increasing disability rates.
This article discusses a talk on "Assistive Augmentation," designing human-computer interfaces to augment human abilities. Examples include 'AiSee' for blind users, 'Prospero' for memory training, and 'MuSS-Bits' for deaf users to feel music. Suranga Nanayakkara from the National University of Singapore will present the talk, highlighting insights from psychology, human-centered machine learning, and design thinking. Why it matters: Such assistive technologies can significantly improve the quality of life for individuals with disabilities and extend human capabilities.
MBZUAI will present two assistive AI prototypes at GITEX 2025: smart glasses with a camera and eye tracker that identify objects and medication, and a brain-computer interface (BCI) device integrated with robotics to control a robotic dog's movements. The smart glasses use a multimodal large language model (LLM) to help visually impaired individuals, while the BCI aims to restore hands-free communication for people with mobility limitations. Hisham Cholakkal leads the research team, which received a Meta Regional Research Grant 2025 for its work on multimodal LLM for smart wearables. Why it matters: The research demonstrates the potential of AI to improve the quality of life for vulnerable populations and addresses the challenge of providing cost-effective care for aging societies.
The Special Olympics Global Center Summit in Abu Dhabi convened 300 advocates to discuss social inclusion for individuals with intellectual disabilities. A panel including MBZUAI's Elizabeth Churchill highlighted AI's role in inclusive technology design, especially in education. Churchill noted AI can personalize learning through tailored regimens, emotion detection, and understanding cognitive patterns. Why it matters: AI-driven personalization has potential to transform education and accessibility for children of determination and other underrepresented groups in the region.
Tetsunari Inamura's talk explores using VR to collect HRI data and tailor assistive robotic functionalities to individual users. He discusses symbol emergence via multimodal interaction, interactive behavior generation through symbol manipulation, and VR for data collection. The talk emphasizes long-term human capability enhancement and avoiding over-reliance on technology. Why it matters: This research promotes independence and growth in human-robot interactions, potentially revolutionizing assistive technologies in the region.
MBZUAI student Karima Kadaoui is developing machine learning algorithms to help speech-impaired individuals communicate more easily. Her project aims to create an app that translates speech impediments into understandable language, facilitating communication with others and integration with voice-enabled technologies like Siri and Google Assistant. The AI-powered app could assist individuals with conditions such as strokes and cerebral palsy, who often struggle with muscle control affecting speech clarity. Why it matters: The research addresses a critical need for inclusive AI solutions, potentially improving the quality of life for speech-impaired individuals in the region and beyond.
Eyal Ofek of Microsoft Research is researching how to augment users' senses and use scene understanding to create more inclusive workspaces, especially for remote work. His work involves designing applications flexible to changing environments and personalized to each user. Ofek's background includes computer vision, augmented reality, and leading research groups at Microsoft. Why it matters: This research aims to improve remote collaboration and adapt technology to individual user needs, which could enhance productivity and inclusivity in the evolving work landscape of the GCC region.
Ted Briscoe from the University of Cambridge discussed using machine learning and NLP to develop learning-oriented assessment (LOA) for non-native writers. The technology is used in Cambridge English courseware like Empower and Linguaskill, as well as Write and Improve. Briscoe is also the co-founder and CEO of iLexIR Ltd. Why it matters: Improving automated language assessment could significantly enhance online language learning platforms in the Arab world and beyond.