Industry leaders want to slow down the evolution of generative AI because they fear it may get out of control.
Can AI really be a threat, and if yes, in what ways?
Just like any technology, AI can be used to help humanity, or it could be used for malicious purposes.
Here are a few examples of what could be done unless we take some precautions:
- Creating deepfakes: Generative AI can be used to create highly realistic images, videos, or audio that can be used to create deepfakes, which are manipulated digital media that can be used to spread false information or defame individuals. Deepfakes can be used for various malicious purposes, such as to harm someone's reputation or spread propaganda.
- Generating fake news: Generative AI can create false news articles or social media posts that can be used to spread misinformation or manipulate public opinion.
- Automating phishing attacks: Generative AI can produce convincing phishing emails or messages that appear to be legitimate but are designed to steal personal or sensitive information from the recipient.
- Creating spam content: It’s become very easy to create vast amounts of low-quality content, such as blog posts or product reviews, that can be used to manipulate search engine rankings or manipulate public perception.
- Generating malware: Malicious actors can use AI to create highly sophisticated malware that is difficult to detect and can be used to infiltrate computer systems or steal sensitive information.
- Cybersecurity attacks: With very little coding experience, it’s possible to create malware that can exploit vulnerabilities in computer systems, steal sensitive information, or hijack networks.
- Social engineering attacks: Generative AI can be used to create convincing, fake social media profiles or chatbots that can be used to manipulate individuals into sharing sensitive information or performing actions that can harm them.
- Online harassment: Creating fake social media posts or comments that are designed to harass individuals or spread hate speech can be much easier with generative AI.
- Manipulating stock markets: Fake news articles or social media posts that can manipulate stock market prices or cause panic selling or buying is happening already. Generative AI can multiply the volume and impact of such content.
- Forgery: Generative AI can be used to create counterfeit documents or signatures that can be used to commit fraud or other criminal activities.
- Impersonation: We’ve seen dramatic improvements in technologies that create fake audio or video recordings of someone's voice or face, which can be used to impersonate them or frame them for a crime they did not commit.
These are just a few examples of how generative AI could be used for malicious purposes. It is important to note that the potential for harm is not inherent in the technology itself, but rather in how it is used. Any ideas how we could prevent all that?