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Sandra Eisert's avatar

Wow, Fred. I was concerned before. But now you have me terrified. After doing a long tour in Silicon Valley where side-effects of programming aren't really considered and the urge to move fast and break things is strong, I worry that for all the good ways this technology could be used, its bad uses are far more likely to be practiced. And legally again, we will be found asleep at the wheel. There is a right to privacy in the Constitution but corporately it doesn't seem to mean much any more so I fear we will continue to thoughtlessly slide down this slippery slope.

Behr's avatar
7dEdited

Thanks Fred, great article! The progress in this field has indeed been interesting. Over the past 20 years I think the main progress has been due to progress of AI models to analyze (and encode/represent the data as well as de-noise/correct the results). The normal challenges seem to remain in these studies to date regarding size and types of training and test data sets, unknown reproducibility/performance in real world settings (not to mention the cost and contraints of required fMRI/MEG machines), even though the newer LLMs and AI models can help ignore reconstruction errors. But with more money being thrown at these problems, and emerging interest for BCI in large profitable corporations, and the investigation of newer types of neuroscience-focused AI foundation models, the future will be interesting.  Regarding the privacy issue, these systems record what the person is consciously imagining, at least in "normal" subjects, so perhaps less of a concern at least so far is my thinking, unless you accept the "memory download" potential some have been advocating. Without my rambling on too much, the most valuable initial use cases appear either for accessibility for physically challenged people, or new use cases we are yet to think. For example, for most people it is easier, cheaper, and far more reliable to use your hand to control a switch rather than to use brain signals for the foreseeable future, the advantage, should reliability improve is for applications requiring ultra-low latency (e.g. professional gaming), but reliability cannot be compromised. Sometimes truly good use cases for some new technologies can take decades to develop in the absence of substantial marketing budgets :)

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