Generative AI like ChatGPT is an innovative technology that generates lifelike text, images, and more. However, generative AI also presents some distress and risks compared to its potential benefits.
First, generative AI models sometimes hallucinate. This means that they create things that seem real but don't actually exist. In some cases, this can lead to misleading and inaccurate information. Because generative AI models don't know what they don't, they can unconsciously fabricate and spread false information.
Second, generative AI models are biased. They generate content based on patterns and tendencies in the training data. If negative social patterns exist in the training data, generative AI models may also validate, reinforce, or even exacerbate those patterns. This can further exacerbate social inequalities and prejudices.
In addition, generative AI models may "reward hackers." Since models do not know the true intentions of users, they can be easily exploited. Hackers can exploit flaws and vulnerabilities in the model to generate harmful content such as disinformation, hate speech, etc.
Finally, generative AI technologies are emerging and still suffer from a lack of understanding. As technology continues to evolve, so do the regulations and norms involved. This means that we need to pay close attention to the development of generative AI and take appropriate measures to address the risks and challenges involved.
Despite the potential of generative AI to bring us great benefits and creativity, we must recognize the risks and limitations involved. We need to be vigilant when using this technology and ensure that regulations and norms keep pace with the technology to minimize potential negative impacts.