MIT graduate student Rachel Sawa researches the future of neurotechnology and its risks

Rachel Sava, a graduate student at the Massachusetts Institute of Technology (MIT), has won the Envisioning the Future of Computing Prize for research devoted to the future of neurotechnology — its potential for breakthrough improvements in people's lives and the risks of sliding into a dystopian scenario, reports MIT News.

What Rachel Sava studies

Neurotechnology is a broad field at the intersection of neuroscience, engineering and computing, which encompasses brain-computer interfaces (BCI), neuroim plants and neuromodulation devices. Devices can be invasive, meaning they are implanted directly into or on the surface of the brain, or non-invasive — for example, wearable helmets and headbands that read the brain's electrical activity through the scalp. Sava's work, noted by the prize, is devoted precisely to this direction: she studies both "transformative improvements" and "dystopian risks" that such technologies bring with them.

The field itself is not new: cochlear hearing implants have restored hearing for several decades, and deep brain stimulation has been used to treat Parkinson's disease since the 1990s. The novelty of recent years is that decoding and interpreting neuronal signals is increasingly taken over by AI rather than rigidly programmed algorithms, which dramatically expands the range of possible tasks. Research at the intersection of neuroscience and computing at MIT is traditionally conducted in structures such as the McGovern Brain Research Institute and Media Lab, and the Envisioning the Future of Computing Prize specifically marks the work of students who are trying to look into where this field is heading next.

Why neurotechnology is increasingly associated with AI

Modern neuro interfaces rely increasingly on artificial intelligence: machine learning models are needed to decode noisy neuronal signals in real time and turn them into commands — cursor movement, synthesized speech or prosthetic arm control. This opens medical prospects for people with paralysis, speech loss, epilepsy or other severe neurological diseases, and is being explored as a way to treat persistent depression through deep brain stimulation.

At the same time, the same ability to read and interpret brain activity raises questions about privacy of thought, possible pressure on cognitive freedom and unequal access to such technologies — that is, the exact risks that Sava considers in her work. This topic is already going beyond academic discussions: for example, Chile in 2021 was one of the first countries to enshrine the protection of "neurorights" at the constitutional level, and the question of regulating brain data is being discussed in other countries as commercial neurointerfaces become more widespread.

What this means

The recognition of an MIT graduate student's work by the Envisioning the Future of Computing Prize shows that the question of how to combine the benefits of neurotechnology with protecting people from its abuse is increasingly being discussed in academic circles — as artificial intelligence makes reading and interpreting brain signals technically ever more real and accessible. Such prizes for graduate students signal that the topic concerns not only regulators and startups, but also the next generation of researchers who will determine the rules of the game for this field for decades to come.