Today, no one can deny the deep integration of modern technology applications and tools into all aspects of our daily lives, the most important and widespread of which are the various artificial intelligence applications.

I will not be focusing specifically on the well-known American ChatGPT application, nor on its Chinese competitor DeepSeek or Google, because there are many other applications and platforms that individuals and company employees utilize to facilitate their work and perform their daily tasks more efficiently and accurately, a noble purpose on which we can all agree.

Of course, like anything else, modern technologies have both advantages and disadvantages. Their advantages depend on the user themselves, on their awareness and understanding of how to benefit from the technology in order to improve their standard of living and gain better opportunities and services. However, I believe the worst thing technology can currently cause is the misuse of artificial intelligence by individuals and organizations engaged in fierce competition. This could lead to them sharing and uploading their personal and institutional data, as well as other sensitive and important information, onto platforms whose operators they do not know, where they have no idea where this information will be stored or who might use it against them later.

The most popular artificial intelligence platforms currently used by the public and professionals include:

Google Cloud AI, Microsoft Azure AI, Amazon AWS, OpenAI, and TensorFlow. The uses of these platforms vary to include the development of machine learning models, task automation, data analysis, and content creation. These major cloud-based platforms offer a wide range of artificial intelligence tools and services for developers and companies, such as:

• Google Cloud AI: Considered one of the leading platforms, providing integrated services for developing and deploying artificial intelligence applications, such as 'Gemini,' for enhancing company productivity.
• Microsoft Azure AI: Provides scalable solutions for companies, with advanced tools for machine learning and conversational artificial intelligence.
• Amazon Web Services (AWS): Offers a comprehensive range of services, such as 'SageMaker,' which helps organizations build, train, and deploy machine learning models.

Model development platforms are used by researchers and developers to create and train artificial intelligence models. The most well-known of these platforms are:

• TensorFlow: An open-source library from Google, widely used in the development of high-quality deep learning models.
• PyTorch: An open-source framework favored by researchers and developers for its flexibility in building dynamic neural networks.
• Keras: A high-level library that simplifies the process of building deep learning models.

Specialized artificial intelligence platforms

• OpenAI: Focuses on research-driven artificial intelligence models and enables developers to integrate its software interface into their natural language understanding applications.
• Synthesia: Specializes in creating videos using realistic digital characters from text, making it ideal for educational and explanatory content.
• Perplexity AI: A question-answering platform that provides fast, accurate, and well-sourced responses, used especially in academic research.
• Canva (Magic Write): Offers AI-assisted writing tools and ready-made design templates, suitable for designers and marketers.
• Botpress: A flexible platform used to create interactive chatbots for automating customer service and managing interactions.

Examples of the uses of these platforms according to statistics:

• E-commerce: Personalized product recommendations based on customer preferences and browsing history.
• Education: Creating interactive educational content and designing lesson plans using artificial intelligence tools.
• Marketing: Analyzing customer data and generating appealing content.
• Customer Service: Using intelligent chatbots to respond to customer inquiries and schedule appointments.
• Data Analysis: Processing massive amounts of data to identify future trends.

And here we return to the main topic of the article: who guarantees the protection of the data that is uploaded to and fed into these platforms?

It is essential to strike a balance between leveraging modern technologies such as blockchain, artificial intelligence, and cryptocurrency in order to maintain data privacy and ensure sound decision-making. Many organizations fail to recognize this issue, and numerous IT companies and service providers (system integrators) have begun transforming into, for example, AI/BC enablers without full readiness or a complete understanding of business requirements necessary to maintain client data confidentiality. This is where conflict and significant harm to both parties occur, with several cases currently pending before the courts in this regard.

Let us examine the privacy and data security of each of the most widely used platforms:

1. Basic data privacy safeguards on Google:

1. Data control: You can manage your data and delete your chat history with “Gemini” or stop it from being saved at any time through your Google account settings.
2. Encryption: Data is encrypted during transmission (when being sent) and during storage (when saved on servers), protecting it from unauthorized access.
3. Human review: In some cases, humans may review your conversations to improve the service, but these chats are separated from your identity and account before review.
4. Transparency: Google’s policies explain why data is collected and how it is used, while also providing tools to export or delete your data.
5. Therefore, there is a difference between the free version and the enterprise version of Google, particularly regarding data confidentiality.

1. Let me explain the privacy safeguards and policies of the Chinese platform DeepSeek:

Privacy safeguards in DeepSeek, according to the officially announced policies, which I cannot guarantee are actually enforced:

1. Conversations are not permanently stored in connection with your personal identity.
2. Data is processed anonymously as much as possible.
3. Data security standards are applied to protect information.
4. What happens to your data on the DeepSeek platform?

• Conversations may be used to improve the model, but in an anonymized form.
• You can manage your data through privacy settings.
• There is an option to delete your chat history if desired.

3. What does the American company OpenAI’s ChatGPT platform commit to?

Full encryption of data both in transit and at rest, with strict access controls and security audits (SOC).

A published and up-to-date privacy policy that clarifies the types of data, purposes of processing, and rights (access, deletion, and objection, etc.).

A key distinction between individual and corporate plans and usage

ChatGPT for individuals (Free/Paid Personal): Your conversations may be used to improve the models unless you disable this feature in the “Data Controls” settings or submit a “Do not train on my content” request.

ChatGPT for businesses/institutions (Business/Enterprise/Edu): Your data is not used to train models, with additional enterprise security and management features.

API Interface: Data sent via API is not used for training by default, unless you explicitly choose to opt in to the participation.

To learn more about any aspect of privacy policies concerning your information on AI platforms:

Let’s say that in many institutions, superiors still often fail to think in a 360-degree manner when allowing or asking employees to use artificial intelligence applications to improve the work environment. They should seek advice from experts and consultants to help them make informed decisions, taking the time to carefully consider the implications of adopting artificial intelligence tools. For example, many technology project contracts are poorly drafted and fail to cover all technical and legal aspects in the event of a dispute, God forbid. Hence the term ‘LegalTech’, which I advise all executives to consult, question, and review carefully, in order to adapt to technological changes without negatively impacting their organization’s performance as a result of sharing sensitive information about the company’s business on an open platform.

Some institutions and all government agencies establish their own dedicated artificial intelligence platforms, though this naturally involves higher costs and specific configurations for organizing data in a structured way to obtain the required outcomes.

As for individuals, I believe that the proper use of technology depends on one’s level of awareness and their ability to use it for learning, improving skills, and exploring new beneficial opportunities, without compromising or sharing their sensitive information.

Finally, tips for safe use:

• Do not share highly sensitive information (passwords, confidential financial data).
• Use pseudonyms when referring to personal examples.
• Delete sensitive conversations after finishing them.
• Controls at your disposal (always recommended to enable)
• From Settings → Data Controls: Turn off “Improve the model for everyone” to disable the use of your conversations in training. You can also export your data or delete your account if needed.
• For special requests (such as preventing training on previous content), use the privacy portal and opt-out options.
• Important legal boundaries and considerations
• Some records may be retained temporarily for security and legal compliance purposes. In litigation contexts, temporary legal hold orders may override normal deletion policies. A recent report mentioned the retention of deleted conversations due to a court order — this typically does not apply to Enterprise or Edu clients, or zero-retention agreements.
• Services are subject to regulatory audits in certain countries, which may impose additional compliance obligations.

Best Practices for Protecting Your Privacy

1. Do not include sensitive data unless absolutely necessary, and preferably anonymize it (remove names or identifiers).
2. If the use is institutional/confidential, use ChatGPT Business/Enterprise or the API with appropriate retention policies.
3. Enable data controls (disable training), define internal access permissions, and maintain an audit log.
4. Regularly review the privacy policy and compliance/security documents (SOC2) via the trust portal.

Conclusion: Privacy is ensured through strong encryption, access controls, and compliance measures, as all artificial intelligence platforms proclaim. While you can prevent your data from being used for training, the responsibility of choosing the right plan and enabling the proper settings lies with you/your company. If you share your usage scenario (individual/corporate, data type, compliance requirements), I can provide you with precise settings and steps that suit your needs. This way, you can confidently use all artificial intelligence applications while adhering to the principle of “caution” and not sharing highly sensitive information.