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  "documentTitle": "Accenture Tech Vision 2025",
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      "text": "People’s acceptance of these machines will be critical to enterprises’ success as they reimagine how they operate and do business in the human world and with humans around them.",
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      "text": "The emergence of generalist robots will steadily bring more AI autonomy into the physical world over the next decade. It may sound like a lot of lead time—but don’t get comfortable. This new generation of robots will fuel a major reinvention of enterprises’ physical presences. Across all industries, they’ll be able to redesign operations, power new services, and engage people and the world differently. But much like digital agents—perhaps even more so—these machines will need a trusted environment to flourish in. Which means if enterprises want to maximize the opportunities, there’s a lot of preparation and groundwork to cover now.",
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      "text": "Consider this: generalists’ multipurpose capabilities mean companies can explore novel deployment strategies. In the past, robots were often huge investments installed and programmed for just one task. If a company shut down an operation, they could resell, but to a relatively limited market. Now, generalist robots’ adaptable bodies and ease at switching between tasks mean robotics-as-a-service models may become the most appealing option to many. What’s more, being able to rent just the machines you need means experiments can be started up with less hardware investment, and the ability to redeploy or return them will make testing new use cases less financially risky. This is just one new business model option—but now is the time to be thinking about them, weighing value against risks, and building your strategies. With robotics-as-a-service, some risks might include questions around data collection, what’s proprietary business knowledge, and what can be shared with providers. And providers are starting to address",
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      "text": "There are also going to be physical safety questions. There are overt issues that get a lot of attention: the potential for a robot to be hacked by a bad actor and used for malicious intent, or for a malfunction to result in physical harm. But there are also questions about what happens when a machine is operating as intended. Think about a security robot that’s faced with a breach or violation, or a robot in the middle of a construction site emergency, where injury may become unavoidable. These machines may be put in a position to make choices about how and where to minimize harm.",
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      "text": "First, and perhaps most consequently, is how enterprises will extend their responsible AI practices into the real world. At this point, many are familiar with responsible AI and have established practices and policies, but robotics bring new and challenging dimensions to those efforts. Think about data privacy: there are already standards like the right to be forgotten and approval needs around data collection. But what happens when a robot—which needs audio and visual sensors to navigate—goes out into the world, constantly collecting information about its surroundings. How will those machines intersect with laws around digital privacy or the right to film in public or record without consent? If data needs to be stored locally, it inhibits the ability for the machines to learn. But allowing data to be collected could open liabilities that some enterprises might not want to take on.",
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      "text": "The framework and governance of this decision-making will be crucial for any enterprise. Leaning on the established thinking and principles of responsible AI will be a good start, but leaders should be planning now for the unique situations their environment poses. People’s acceptance of these machines will be critical to enterprises’ success as they reimagine how they operate and do business in the human world and with humans around them—and responsible practices is the very baseline needed for building that trust. Secondly, enterprises need to trust their investment. This new generation of robots will require—or inspire—fundamentally different business models. Whether an organization has a long history with robots, or has never used them before, everyone is starting from scratch here. Leaders need to explore questions like how they will access these machines, how they fit into cost structures, and how the answers to these questions will impact the use cases they prioritize or partners they engage.",
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