Top 5 AI Risks In The Era Of Generative AI
“How will you add value in the era of generative AI? If you aren’t attempting to answer this question now by choice, it will ultimately be answered for you by force.”
Today, AI is embedded in almost every part of our lives. We have been interacting with AI for many years through voice assistants, facial recognition on our phones, and more. This traditional or conventional AI, consists of rules programmed to perform specific tasks. Fraud detection, medical diagnosis, stock trading, video games are main playfields of traditional AI.
What is Generative AI?
Generative AI is a type of artificial intelligence technology which generates new and original content. Generative AI model can create something entirely new based on the information it has been shown and trained.
Generative AI models like ChatGPT has always raised concerns over the protection of personal data. From manipulated information to cybersecurity concerns, AI implementation has its cons despite its pros.
Here are some risks of generative artificial intelligence (AI).
- Deepfakes
Deepfakes use AI to generate completely new video or audio or images, that is not real. The use of deepfake technology like voice clones can be a threat to cyber security.
2. Fabricated Information
Artificial intelligence can fabricate information like AI hallucination. It occurs when an AI model generates outputs different from what is expected.
3. Data Privacy
AI can be a threat to the privacy of individuals and organizations because of the complexity of the algorithms used in AI systems.
4. Copyright and legal exposure
Since AI models are trained on large volume of data and data sources can be unknown, it can be problematic for organizations like bank or drug companies.
5. Cybersecurity Concerns
AI security systems have access to large amounts of data, which can raise privacy concerns. Increased phishing threats are major problems in cybersecurity sector.
The Wrap
Generative AI has been on the rise over the past few years, and it doesn’t seem to have reached its peak yet. As there are a lot of benefits that can be harvested from the use of Generative AI, it also come with a lot of risks. You have to balance these risks and benefits of Generative AI, to make gain from it.