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What is AI governance?

AI governance, also known as AI governance, plays a crucial role as artificial intelligence (AI) rapidly becomes an essential part of modern life. With applications in a variety of industries, from healthcare and finance to manufacturing and agriculture, AI is experiencing rapid growth that brings with it a number of challenges.
Ensuring the ethical, responsible, and safe use of this technology is essential. AI governance thus emerges as a set of principles, processes, and structures that aim to ensure the responsible use of AI, aligned with the values ​​of the organization.

Topics covering AI Governance

Ethics: AI governance must ensure that the mobile phone number data updated 2025 is used ethically and does not cause harm to people or society.

Transparency: People must when they are interacting with an AI system and how their data is being used.

Accountability: It is important to have mechanisms in place to hold people accountable for the development and use of AI.

Security: AI systems must from cyberattacks and other forms of manipulation.
Privacy: AI governance must ensure that personal data is and responsibly and with people’s consent. In addition, it is essential to ensure transparency in the process of collecting and using this data, as well as ensuring the protection of users’ privacy and individual rights.

The importance of governance

Governance in AI is important for automating demand generation with ai in b2b sales reasons. Here are some of them:

Protecting people and society: AI can have a significant impact. On people’s lives, so it’s important to ensure that the technology is safely, responsibly, and ethically.

The Relationship Between the AI ​​Act and AI Governance

The AI ​​Act is a proposal by the European tw list to establish a legal framework covering the development, commercialization and use of artificial intelligence across the bloc. In this context under debate, the proposal presents a fundamental role in the governance. Of artificial intelligence, establishing specific principles. Requirements to ensure that the technology is in a responsible, ethical and safe manner.

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