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Doczy: 05 Mar 2024 Posty: 2
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When it comes to aligning AI ambition with practice |
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Shrier offers advice in three parts: “Build new skills, put processes in place so that you can do it at scale, and change your corporate governance.” TNW Conference Group ticket offer Save up to % with our Group offer and join Europe's leading tech festival in June! But what exactly does this entail? Establish new processes around AI “So first of all, you need to build expertise around artificial intelligence, so that CEOs, boards of directors, and employees know what it can and what it can’t do,” Shrier says. Another key factor is understanding where the company’s data is going when using AI tools and, in turn, how to manage and prevent leaks and cybersecurity risks. The stakes are high indeed, with employees reporting they have used AI without their manager’s knowledge, and even prompted tools like ChatGPT with confidential data. David Shrier will be speaking at TNW Conference on June - in Amsterdam.
Credit: David Shrier Once these benchmarks are set, a critical step is ensuring algorithm audits on a regular basis. Another step is putting governance in place. This includes an AI committee which is chaired by an AI Officer — a new C-level function that would report to the CEO and provide insights to the board. Rebuild workforce skills Companies should also invest in human Binance App Users Data capital and rebuild their workforce to be AI ready. “Get your people to understand AI,” Shrier emphasises. Specifically, employees need to develop cognitive flexibility, the ability to learn new things every three to six months — also called “flash growth.” The new skillset should also focus on what humans are better at than AI. This includes soft skills such as creative exploration, emotional intelligence, relational skills, and working with teams. “So if AI replaces a lot of analytics and process functions, humans still have a role to play because they’re good at these other things,” he explains.
Explore AI-powered growth Once these systems are in place, companies can really leverage what AI can deliver. “You can make your people at least times if not times more productive and your business times, times larger,” Shrier notes. One way to do that is using AI to capture collective intelligence. This means blending the right percentage of expert projections and the wisdom of the crowd with the help of algorithms. Another alternative is to create a “corporate GPT,” an AI that is tailored to a company’s data, processes, and culture — and teach employees how to use it. “This way you have these enhanced humans that are working with your corporate knowledge to do things times better,” Shrier says. Shrier believes that with this new technology we have the ability to improve human productivity in a transformative way. “In an ideal AI future we are unlocking greater human potential. And we’re achieving more and building a utopian society,” he explains.
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