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Building Consumer Trust In The Age Of Generative AI Personalization

Mar 19, 2024 - forbes.com
The article discusses the ethical implications of generative AI (GenAI) and the need for a comprehensive governance framework to ensure its responsible use. It highlights the potential misuse of GenAI, such as the creation of deepfakes and copyright infringement, and the importance of U.S. President Biden’s 2023 Executive Order on AI, which sets standards for ethical AI development. The author emphasizes that companies should proactively incorporate these best practices into their AI governance framework to mitigate harm and build consumer trust.

The article also underscores the importance of transparency in GenAI development to build consumer confidence and strengthen brand reputation. It suggests that companies should inform consumers about the presence and purpose of GenAI in their platforms, how they’re using it to enhance the customer experience, and how they collect, use, and protect customer data. By adopting responsible AI principles, diligent governance, and following best practices, companies can leverage GenAI ethically, thereby building lasting consumer trust.

Key takeaways:

  • U.S. President Biden’s October 2023 Executive Order on artificial intelligence sets standards for the ethical and responsible development of AI, challenging companies to develop GenAI solutions that respect consumer privacy, promote equity and provide transparency.
  • Trust and transparency are essential in GenAI development to promote ethical practices, build consumer confidence and strengthen brand reputation.
  • Companies need to create a comprehensive framework for ethical AI governance, covering the entire life cycle of GenAI, from data collection and analysis to content generation, delivery and evaluation.
  • Companies should inform consumers about the presence and purpose of GenAI in their platforms and how they’re using it to enhance the customer experience. They should also disclose how they collect, use and protect customer data, as well as the benefits and risks of data sharing.
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