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How to create, release, and share generative AI responsibly 04/18/2023

Are you interested in designing a generative AI model? 🤔 In a recent article, MIT Technology Review discusses the importance of responsible AI development and release.

From building diverse datasets to implementing fairness metrics, there are many steps you can take to ensure that your generative AI models are safe and unbiased. For anyone interested in building AI, this is a must-read. ☝️

How to create, release, and share generative AI responsibly Companies including OpenAI and TikTok have signed up to a new set of guidelines designed to help them be more transparent around generative AI.

Voices of Trusted AI Monthly Digest | Pandata 04/14/2023

The truth? AI overhype is dangerous.

☝️ It leads people to form unrealistic expectations about what AI can do—resulting in disappointment and loss of trust in the technology.

☝️ It can spread misinformation, making it harder for everyone to understand how AI works.

☝️ And putting too much emphasis on the development of AI should not come at the expense of other important areas like cybersecurity, privacy, and ethics.

We talk more about this in our next Voices of Trusted AI edition. 📬 Subscribe here before we hit send.

Voices of Trusted AI Monthly Digest | Pandata Subscribe for a single source of trusted artificial intelligence insight and resources, straight from data science experts.

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