SEO and media have the potential to inadvertently

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To obtain user consent, ensure that consent is informed and freely given through clear and easy-to-understand consent forms that explain the purpose and benefits of data collection. In addition, robust security measures include: Data encryption. Access control. Data anonymization (where possible). Regular audits and updates. For example, OpenAI’s policies align with the need for data privacy and protection and focus on promoting transparency, user consent and data security in AI applications.

Fairness and bias AI algorithms used in  perpetuate DB to Data or discriminate against certain individuals or groups. Agencies must be proactive in identifying and mitigating algorithmic bias. This is especially important under the new EU AI Act, which prohibits AI systems from unfairly affecting human behavior or displaying discriminatory behavior. To mitigate this risk, agencies should ensure that diverse data and perspectives are included in the design of AI models and continuously monitor results for potential bias and discrimination.



A way to achieve this is by using tools that help reduce bias, like AI Fairness 360, IBM Watson Studio and Google’s What-If Tool. False or misleading content AI tools, including ChatGPT, can generate synthetic content that may be inaccurate, misleading or fake. For example, artificial intelligence often creates fake online reviews to promote certain places or products. This can lead to negative consequences for businesses that rely on AI-generated content. Implementing clear policies and procedures for reviewing AI-generated content before publication is crucial to prevent this risk.