Creating and using Agentic AI

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What ethical issues and dilemmas arise when creating and using Agentic AI? How can they be addressed at the policy and legal regulation level?

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Building and using agent AI involves overcoming a number of ethical issues and dilemmas. Addressing these issues at the policy and regulatory level is critical to ensuring that AI systems are developed and deployed ethically, fairly, and that they benefit society. The article - https://zhukov.live/what-is-agentic-...i-5f011521bc08 provides a detailed exploration of the ethical issues and dilemmas, as well as potential policy and regulatory approaches to address them. AI systems can preserve or amplify biases present in training data, leading to discriminatory outcomes.

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This can impact areas such as hiring, lending, law enforcement, and more. Balancing the need for accurate AI systems with the risk of amplifying existing biases and inequalities.

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Agent AI systems often require large amounts of personal data to function effectively, raising concerns about privacy and surveillance.

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Does anyone can provide information? Derby joiners

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What are some specific ways GPT can assist in brand development, training, and advertising, and how can businesses benefit from these capabilities?

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GPT offers numerous advantages. You can create a logo for your brand and use ChatbotGPT to help develop detailed guides with illustrations. It also allows you to discover new and innovative training methods by simply asking a question. For advertising purposes, you can enhance and improve photos directly within GPT. That's why I recommend using this platform.

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In my experience, creating and using agentic AI has been transformative, especially ai in finance. Agentic AI can make autonomous decisions, adapting to changing data patterns without constant human intervention. This adaptability is invaluable in finance, where real-time analysis and quick decision-making significantly impact investment outcomes and risk management, driving smarter strategies.