With the vigorous development of artificial intelligence, it has penetrated into all walks of life and played a pivotal role. However, behind this beautiful scene, the actual implementation has encountered a lot of troubles and has become an obstacle in the development of artificial intelligence. Generative AI, in particular, has created many conflicts and contradictions with the existing legal framework and ethical guidelines.
1. Data bias.
In the simulation training of generative AI, the problem of data bias has become increasingly prominent and cannot be ignored. Since the output is heavily influenced by the training data, if there is a subjective bias in the data, it will be visible in the final output. Therefore, during the training process, we need to rigorously filter and purify the data to ensure its objectivity and impartiality, so as to avoid passing bias to the final output content.
2. Logical loopholes.
Generative AI also suffers from logical loopholes. Due to the flaws of the underlying logic, artificial intelligence cannot fully simulate human logical thinking when analyzing, resulting in a lack of coherence in the results it obtains. These biases and loopholes, in practice, greatly limit the usefulness of generative AI's output. In order to solve these problems, we need to filter and process the training data of AI more rigorously, and at the same time optimize and improve its underlying logic more deeply.
3. Inability to understand the situation.
Currently, generative AI faces challenges in contextual analysis, making it difficult to identify the correlation between different things in the same context. This deficiency leads to a significant reduction in compatibility in the application and has an impact on the output results. Therefore, in order to improve the performance of generative AI in specific applications, we still need to continuously improve its analytical capabilities so that it can better understand and respond to complex situations.
4. Ethical issues.
Artificial intelligence does not have autonomous consciousness, so it does not have the ability to create and distinguish between authenticity and authenticity. Because the content of the database it relies on may be of different authenticity and there are loopholes in the operation logic, it will cause a series of problems, such as ownership and authenticity. The emergence of these problems is mainly manifested in the false content generated by artificial intelligence. It is extremely misleading and can lead to serious deviations in human perception on certain issues, with unimaginable consequences.