Post by account_disabled on Feb 17, 2024 3:30:14 GMT -5
Looking for examples? Well, let's turn to insurance agencies. Real world example: UnitedHealth In the insurance world, claims used to be reviewed by company representatives to determine what level of medical care met coverage standards. But today, in some cases, artificial intelligence is already being used to make decisions. While this in itself is not a cause for alarm, a lack of supervision can lead to potentially dangerous results and angry customers. In 2023 ,
UnitedHealth Group was sued for using artificial intelligence Consumer Mobile number Database in processing claims. Two families say decisions made by artificial intelligence shortened the length of time elderly patients stayed in rehabilitation centers before they died. AI's " rigid and unrealistic " decisions denied these patients care that would have been covered by their plan, the statement said.
Even if your business doesn't involve life-or-death decisions, human supervision can keep your customers in mind even if a machine breaks down. Harmful or inaccurate recommendations that betray trust Even with access to a range of data, AI doesn’t always know best. These tools can be hallucinating, meaning they can produce inaccurate or misleading results for a problem. trust in your brand. Customers want to make sure their decisions are based on facts. Inaccurate information can lead them to make decisions they may regret, placing the blame on your company. Make sure to set limits on what questions the AI can and cannot answer. Real-world examples: CNET and the National Eating Disorders Association We've both tested artificial intelligence and been surprised by the quality of the bot's output.
UnitedHealth Group was sued for using artificial intelligence Consumer Mobile number Database in processing claims. Two families say decisions made by artificial intelligence shortened the length of time elderly patients stayed in rehabilitation centers before they died. AI's " rigid and unrealistic " decisions denied these patients care that would have been covered by their plan, the statement said.
Even if your business doesn't involve life-or-death decisions, human supervision can keep your customers in mind even if a machine breaks down. Harmful or inaccurate recommendations that betray trust Even with access to a range of data, AI doesn’t always know best. These tools can be hallucinating, meaning they can produce inaccurate or misleading results for a problem. trust in your brand. Customers want to make sure their decisions are based on facts. Inaccurate information can lead them to make decisions they may regret, placing the blame on your company. Make sure to set limits on what questions the AI can and cannot answer. Real-world examples: CNET and the National Eating Disorders Association We've both tested artificial intelligence and been surprised by the quality of the bot's output.