It's time to end the hyperbole about AI

The surge in artificial intelligence has given rise to excessive hyperbole, with proponents claiming it will revolutionise work, education, and science, while critics warn of job losses and rogue systems. Recently, researchers have expressed concerns about the potential for self-improving superintelligence to cause widespread harm by the end of the decade. Notably, political figures like Steven Bannon and Bernie Sanders have joined calls for greater regulation of Silicon Valley.

However, the reality may lie somewhere in between the extreme predictions. One example of more measured assessment is the GenBio AI's AIDO Cell system, which simulates how human cells respond to drugs and experiments. Co-founded by Eric Xing, president of MBZUAI, and Nobel Laureate David Baker, this technology aims to make biology computable, predictable, and programmable.

While AI has not solved drug discovery or replaced laboratory science, this example showcases the potential for practical applications that can save researchers time and help identify promising treatment avenues.

As AI continues to permeate everyday professional life, such as at the Arab Media Summit in Dubai, it is crucial to maintain a sense of perspective. This involves questioning the capabilities and independence of these systems, as well as implementing testing and monitoring mechanisms before and after deployment. Progressive regulation should focus on addressing genuine risks without stifling innovation.

The key is to strike a balance between proportionate safeguards and ensuring humans retain responsibility for consequential decisions. By testing and verifying what works and measuring what doesn't, the AI debate can move beyond polarised views and foster a more balanced approach to this revolutionary technology.