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Solving Real-World Problems Is Key to Building Trust in AI

There is huge potential for AI to transform our world for the better. From enabling early disease detection and accelerating drug discovery, to addressing critical environmental challenges by discovering sustainable new materials, AI is already advancing progress on some of society’s toughest problems.

As AI reshapes our world, some people are skeptical and leaders face a critical challenge: How do we responsibly harness AI’s potential?

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Successful product implementation demands more than technical excellence. It requires a fundamental shift in how organizations approach innovation, stakeholder engagement, and solutions. In order to earn people’s trust, leaders must collaborate with local communities, operationalize corporate responsibility, and focus on creating real-world solutions.

The most impactful innovations are built in partnership with the communities they’re meant to serve. To do that, organizations must move beyond traditional stakeholder management to create authentic collaboration channels with expert voices, from ethicists and academics to local populations.

When we bring outside voices into the development process early, we create tech that better reflects the breadth and depth of the human experience. For example, my team collaborates with academic researchers. So in order to amplify the real-world impact of our scientific breakthroughs, we created a dedicated impact accelerator to nurture these partnerships and enable their work.

Leaders should consider creating teams to amplify real-world impact through academic and community partnerships. Our events and conversations with the public have led to more locally relevant and useful applications. 

Alongside stakeholder engagement, it’s vital to create internal processes that ensure the highest possible standard of technology development. This isn’t about being cautious to the point of paralysis; rather, it’s about building robust processes that enable us to innovate and iterate responsibly.

The success of AI projects often hinges on how well organizations operationalize their commitment to care. A best practice is to develop frameworks that embed ethical considerations and safety measures in the fabric of any research-and-development process as fundamental building blocks—not bolted-on afterthoughts. Successful implementation requires close collaboration with those who deeply understand your product and your audience. These experts can highlight potential pitfalls and opportunities and ensure that your product seamlessly integrates into people’s daily lives.

At Google DeepMind, this manifests in various ways: from our cross-functional leadership council, which provides ongoing feedback on research, to our comprehensive frameworks for AI development. These structures aren’t bureaucratic hurdles; they’re essential tools that enable us to build AI systems while maintaining alignment with human values.

The antidote to apprehension around AI is to build products that solve real problems, and then highlight those solutions. Organizations can bring stakeholders in early and establish internal processes to operationalize care, but they still need to earn people’s trust. 

When AI is perceived as adding clear value, people are more likely to embrace it. AI already powers technology that allows phone batteries to last longer, improves movie and song recommendations, and enables more effective maps and translation. Recently, Google DeepMind announced GenCast, an AI model that can deliver accurate 15-day weather forecasts. That’s the kind of AI we should be building. It’s not just a solution that helps people better respond to extreme weather events like storms, it’s also a practical solution that improves everyday life.

None of us have all the answers about AI’s future. But ensuring that our technological advances serve humanity’s best interests is a business and moral imperative.

Надежда Петрова

Петрова презентует книгу «Теннис. Методические рекомендации» 5 апреля в Москве

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  • ИП Попов А.П.
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Ревматолог: "3 апреля 2024 в г.Колумбус запущена квота"

Каждый человек с больными суставами имеет право получить...






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  • ИП Попов А.П.
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Ревматолог: "3 апреля 2024 в г.Колумбус запущена квота"

Каждый человек с больными суставами имеет право получить...


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  • ИП Попов А.П.
  • ИНН: 602715631406
Ревматолог: "3 апреля 2024 в г.Колумбус запущена квота"

Каждый человек с больными суставами имеет право получить...

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The Ashton Jeanty Bears Smoke Just Got Even Thicker

The draft is three weeks away now. GM Ryan Poles and head coach Ben Johnson have pieced together an off-season that is earning widespread praise across the league. The question is whether they can stick the landing with their 1st round pick in the draft. Current projections have the top three picks likely being a mix of Cam Ward, Travis Hunter, and Abdul Carter. After that, it gets tricky. People in Chicago want to know where running back Ashton Jeanty will end once the dust settles.

Widespread belief has been that the Las Vegas Raiders are the heavy favorites to take him at 6th overall, with New Orleans at #9 also being a possibility. It makes sense. Las Vegas’ best option right now is a 33-year-old Raheem Mostert. New Orleans knows Alvin Kamara turns 30 in July. Both teams need to think about the future at that position. Both have head coaches who like to run the ball. One thing is clear. A source told SM that those around the league believe one thing is certain.

“He likely won’t get passed Chicago if he falls that far.”

Ashton Jeanty is a strong probability for the Bears.

Whispers from Halas Hall indicate they love the Boise State star. It isn’t hard to see why. He nearly broke Barry Sanders’ single-season rushing record in 2024, nearly winning the Heisman in the process. The guy carried his team to the college football playoffs. He’s built like a brick house with power, speed, contact balance, and vision. There aren’t any truly glaring weaknesses in his game. He’s earned comparisons to the likes of LaDainian Tomlinson and Marshawn Lynch. The Bears haven’t had a back of that caliber since Matt Forte.

Try to imagine what this offense could look like with Ashton Jeanty, Rome Odunze, D.J. Moore, and Cole Kmet all as options for quarterback Caleb Williams. Throw all of it into Johnson’s offense, and you can understand why some people around the league aren’t wild about the idea. They are quietly hoping Jeanty goes somewhere else. One thing is certain. If he gets past the Raiders, the noise will get loud in a hurry. It would mark the first time in 20 years the Bears have taken a running back in the 1st round.

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  • ИП Попов А.П.
  • ИНН: 602715631406
Ревматолог: "3 апреля 2024 в г.Колумбус запущена квота"

Каждый человек с больными суставами имеет право получить...






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  • ИП Попов А.П.
  • ИНН: 602715631406
Ревматолог: "3 апреля 2024 в г.Колумбус запущена квота"

Каждый человек с больными суставами имеет право получить...


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  • ИП Попов А.П.
  • ИНН: 602715631406
Ревматолог: "3 апреля 2024 в г.Колумбус запущена квота"

Каждый человек с больными суставами имеет право получить...

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