Wisdolia homepage screenshot. Homepage of Wisdolia Openness as policy But how do you manage all this in the right direction? I asked who other than ChatGPT about policy frameworks for using generative AI within organizations. than general recommendations to act ethically, mitigate risks and establish governance frameworks . And that while this article has rolled out flawlessly so far ;). If you ask me, openness within organizations is especially important. Be open to the opportunities that AI offers. Encourage your employees to experiment with it and make it clear that you don’t see this as cheating or cutting corners.
Also talk openly about the impact
It can have on people’s work Colleges Universities Email List and job security. A promise of training or retraining can ease concerns. The most important agreement is: all colleagues remain responsible themselves, even if they have their texts, pictures, computer code or videos (partly) generated by AI. Before you give permission to use a new AI tool, check the security and privacy implications. With the tools from Microsoft and Google you can assume that this is well organized (and they already have your data anyway), but with other tools this is certainly not self-evident. Where does your data go.
Will it be used as training data
Can you be held liable for copyright B2b Phone List infringement of others whose content has been used as training data? But I think the most important agreement is: all colleagues remain responsible themselves, even if they have their texts, pictures, computer code or videos (partly) generated by AI. Urge them to check all AI content for factual accuracy and fitness for purpose before using it. Aai, watch out! So relying too much on generative AI is a major danger. After all, AI can ‘ hallucinate ‘ and spout sheer nonsense – or worse, spout nonsense that doesn’t seem like nonsense. If you keep thinking critically.
