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For instance, the report predicts that businesses will start including emotional-AI-related legal protections in their terms and conditions with the healthcare sector expected to start making these updates within the next two years. Without governance, AI initiatives risk becoming fragmented, unaccountable, or outright dangerous.
According to most analysts, the answer is an overwhelming yes with global investment expected to surge by around a third in the coming 12 months and continue on the same trajectory until 2028. Beyond transparency, a commitment to responsible AI will be a priority as companies try to gain the trust of clients and consumers.
But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AIdevelopment and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.
This is only clearer with this week’s news of Microsoft and OpenAI planning a >$100bn 5 GW AI data center for 2028. This would be its 5th generation AI training cluster. Hence, we are focused on making AI more accessible and releasing AI learning materials and courses! Why should you care?
(This could result from companies making attempts to prevent the above two failure modes - i.e., AIs might be penalized heavily for saying false and harmful things, and respond by simply refusing to answer lots of questions). The most straightforward way to solve these problems involves training AIs to behave more safely and helpfully.
I’ve argued that AI systems could defeat all of humanity combined, if (for whatever reason) they were directed toward that goal. Here I’ll explain why I think they might - in fact - end up directed toward that goal. I assume the world could develop extraordinarily powerful AI systems in the coming decades.
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