What is Generative AI and Benefits, Limitations, and Risks of AI.

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07-11-2024 09:25 AM
Hello Folks,
I thought to share this Generative AI content with all of you. Because now a days every where and every one talking about Gen AI. what is the Benefits, Limitations, and Risks as well as how it is beneficial for us.
Please go through step by step in this docs.
What is Generative AI?
Generative AI is designed to be more human-like than ever before. It can create realistic content by learning from existing data. It can provide realistic and creative text, images, and other media to transform industries such as entertainment, marketing, and healthcare.
Benefits, Limitations, and Risks:
With its ability to create intelligent, accurate, original content without any ‘hand holding’ from human operators, Generative AI offers numerous benefits for businesses across a range of sectors. By leveraging the creative power of AI, generative models have the potential to drive innovation, streamline processes, and unlock new opportunities.
Limitations and risks :
Obviously, Generative AI carries with it immense potential for optimizing and streamlining business processes and personalizing customer interactions. However, it is worth recognizing that Generative AI has its share of limitations and risks. Here are some potential issues associated with it of which organizations need to be aware.
- Difficulty adapting to new circumstances: Generative AI models may struggle to tune their outputs to new circumstances, requiring ongoing fine-tuning and adjustment to ensure relevance and accuracy.
- Harmful bias : Because generative AI models are built on a foundation of data, they may carry certain biases from that training data across into their outputs. Organizations must have policies or controls in place to detect and address biased content so as not to inadvertently spread harmful preconceptions.
- Intellectual property rights: As advanced as today’s generative AIs are, they still require training on available data to produce content. This creates murky waters when it comes to copyrighted materials—these technologies AIs may be using intellectual property that does not belong to their parent organization. At the same time, users who share confidential information with AIs may find that it is no longer confidential but has become part of the AI data set.
- Lack of transparency: The recent focus on ease of use and conversation-like input/output has created an environment where it can be difficult to really understand how the generative AI works and where its original data comes from. Many organizations may not wish to take full advantage of generative AI without a clearer picture of its inner workings.
- New cybersecurity dangers: Cybercriminals around the world are already using generative AI programs to target their victims and circumvent security layers more effectively. Attackers may even use company-based AIs as system entry points, taking advantage of vulnerabilities in the program to gain access to sensitive data. Keeping up to date on all cybersecurity advancements and vulnerability patches may be the only way to counter these growing threats.
- Potential problems with accuracy and appropriateness : Generative AI systems may generate inaccurate or unproven answers. Generative AI ‘hallucinations,’ where the AI may simply make up answers, represent major issues, particularly in scenarios that demand complete accuracy and validity. It is crucial to carefully assess the outputs for accuracy, appropriateness, and actual usefulness before relying on or publicly distributing any information produced by a generative AI.
What ServiceNow offers
ServiceNow's Generative AI capabilities are categorized as language generation. This means that the AI system can take text inputs from various sources like text fields, search boxes, or chat and use them to answer questions and generate new content efficiently.
for more information please go through the ServiceNow links.
Learning Course - Now Learning (servicenow.com)
What is generative AI? - ServiceNow
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Thanks
Sanjay Bagri