Artificial intelligence operates based on the data provided by humans. A crucial aspect of AI is data integrity; the more accurate and authentic the data is, the more reliable the results will be. Conversely, inaccurately input data can lead to misleading information.

Dear Amira Sabeg ,

Like other forms of AI, generative AI can influence a number of ethical issues and risks surrounding data privacy, security, policies and workforces. Generative AI technology can also potentially produce a series of new business risks like misinformation, plagiarism, copyright infringements and harmful content. Lack of transparency and the potential for worker displacement are additional issues that enterprises may need to address.

https://www.techtarget.com/searchenterpriseai/tip/Generative-AI-ethics-8-biggest-concerns

Regards,

Shafagat

Dear Amira Sabeg,

One of the matters that part of the AI community is concerned with is the ever growing size of current Neural Networks-based models, since complex Deep Neural Networks have a tendency to be power-hungry. This is not only a problem for embedded devices, which rely on limited power sources, but also for environmental reasons, since even renewable energy sources have environmental impacts.

Best regards.