Deep Tech is catalyzing groundbreaking innovations faster than ever. Having established its reputation as a problem-driven approach to tackle complex problems by combining new physical technologies with sophisticated digital technologies, it is inevitable that Deep Tech will disrupt incumbents in almost every industry.
If they’re used indiscriminately, no-code/low-code platforms for A.I. are likely to end up doing more harm than good.
In the age of AI where algorithms continuously improve through interaction and mutual learning with humans, companies must realize that their AI efforts won’t be optimal if they only focus on the technology or humans. They need to combine both.
Reinventing business with A.I. is no longer a hypothetical proposition; in the age of A.I., that may be the only way for every organization to thrive.
CEOs should ask A.I. review boards to identify A.I. risks; develop guidelines to prevent their companies from falling victim to them; and constantly monitor the growing risks as the algorithms evolve
If business wants to use AI at scale, adhering to the technical guidelines for responsible AI development isn’t enough. It must obtain society’s explicit approval to deploy the technology.
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