"Let's protect our data with regulated generative AIs!" »
Update May 2023: a prompt respectful of personal data and copyright during text mining
Introduction
The Draft Generative AI Regulation is a document prepared by data protection authorities to regulate the use of generative artificial intelligence technologies. It aims to protect the fundamental rights of people and to promote innovation and the responsible use of generative AI technologies. The draft regulations aim to establish clear and precise rules for the use of generative AI technologies, to provide transparency and to ensure that personal data is treated responsibly. It also aims to promote the use of generative AI technologies for the common good and encourage innovation and the responsible use of generative AI technologies.
Generative AI is a subfield of artificial intelligence (AI) that involves the use of artificial neural networks to create data or content, such as images, music, or text, autonomously . Unlike other types of AI that focus on analyzing existing data, generative AI creates new data from a series of statistical models learned from a training dataset.
The process of how generative AI works varies depending on the techniques used. However, in general, artificial neural networks are trained to recognize patterns in existing datasets, such as images or texts. Then, these networks are used to generate new data that resembles that of the training set.
There are several approaches to performing generative AI, including the use of recurrent neural networks (RNNs) or generative antagonistic neural networks (GANs). In the case of RNNs, models are trained to predict the next value in a sequence of data and then are used to generate new sequences. In the case of GANs, two neural networks are used in tandem: a generative network that creates data and a discriminative network that evaluates the quality of the generated data. Both networks are trained simultaneously until the generative network can produce high quality data.
In summary, generative AI uses artificial neural networks to create new data that resembles that of a training set. The techniques used vary, but all involve the use of statistical models to generate new and original data.
What are the main challenges in implementing the proposed regulation of generative AI?
The main challenge to implement the generative AI regulatory project is to define clear and precise guidelines for the development and use of generative AI technologies. It is essential to determine the limits of the use of generative AI technologies and to define rules and procedures for their development and use.
Another important challenge is to develop monitoring and control mechanisms to ensure that generative AI technologies are used responsibly and according to established guidelines. It is also important to develop accountability mechanisms to ensure that companies and users are held accountable for their actions and decisions.
Finally, it is essential to develop data protection mechanisms to ensure that personal data and sensitive information is protected and is not used for unauthorized purposes. It is also important to develop intellectual property rights protection mechanisms to ensure that generative AI technologies are not used to violate the intellectual property rights of others.
What are the advantages and disadvantages of the proposed regulation of generative AI for businesses?
The benefits of the proposed generative AI regulations for businesses are numerous. First, it would allow them to better understand and control their generative AI systems, which in turn would allow them to better manage their risks and liabilities. Additionally, it would give them greater assurance that their generative AI systems are compliant with applicable laws and regulations. Finally, it would allow them to better protect their data and systems against cyberattacks and privacy breaches.
However, the proposed generative AI regulations also have drawbacks for businesses. First, it can lead to additional costs for businesses, as they will need to put in place compliance systems and procedures to ensure that their generative AI systems comply with applicable laws and regulations. Additionally, it can result in a waste of time and money for businesses as they will need to put in place compliance systems and procedures to ensure that their generative AI systems comply with applicable laws and regulations. . Finally, it can lead to a loss of flexibility and freedom for businesses, as they will have to comply with applicable laws and regulations.
How could the proposed regulation of generative AI help protect personal data?
The proposed generative AI regulations could help protect personal data by placing restrictions on how companies can use personal data. For example, the draft could require companies to obtain explicit consent from users before collecting and using their personal data. Additionally, the draft could impose restrictions on how companies can store and share personal data. Finally, the draft could require companies to put in place security measures to protect personal data against loss, misuse and unauthorized disclosure. By imposing these restrictions, the proposed generative AI regulations could help protect users' personal data.
Conclusion
The regulation of generative AIs prepared by data protection authorities is an important step towards the protection of data and the rights of individuals. It provides additional protection against misuse of personal data and artificial intelligence technologies. It also offers additional safeguards for consumers and businesses that use these technologies. The regulation of generative AIs is an important step towards a more responsible and safer use of artificial intelligence technologies.
Act now to protect your privacy and personal data! The draft regulation of generative AI prepared by the data protection authorities is an important step to ensure data security and privacy. To learn more about this project and how you can support it, click here: https://roquefeuil.avocat.fr/avocat-droit-informatique-paris/avocat-protection-des-donnees/.
OpenAI's artificial intelligence tool, ChatGPT, has garnered a lot of attention since it was recently made available to the general public. Although millions of users have already tested the tool, many companies have started to integrate it into some of their services without considering the risks associated with its use and the precautions to be taken.
Data protection authorities have also paid particular attention to ChatGPT, as Open AI is required to process large volumes of personal data. The data collected on users can be used by OpenAI for the purpose of managing user accounts, providing its services, but also for other purposes such as improving ChatGPT.
The massive processing of data collected online raises the controversial issue of the GDPR compliance of online data scraping, i.e. the massive aspiration of data published on websites. Data protection authorities have expressed concerns about the use of ChatGPT and have opened investigations to verify its compliance with the GDPR.
The Garante per la protezione dei dati personali has temporarily prohibited OpenAI from processing the personal data of persons established in Italy. After several exchanges and meetings, the Garante lifted this ban in view of the measures proposed by OpenAI to remedy the breaches of which it was accused.
Other European authorities have also expressed concerns about the use of ChatGPT and opened investigations. The CNIL has received several complaints directed against OpenAI.
The breaches identified by the Garante relate to several points, in particular the principle of data accuracy, respect for the right of rectification, the principle of transparency and information of the persons concerned, the filter of minors, respect for the principles of minimization and limitation of purposes, the validity of the legal bases retained by ChatGPT for its data processing, the effectiveness of the right of opposition of persons to the use of their data for ChatGPT training purposes, respect for others rights, and in particular the right of access, compliance with the principles of data protection by default and by design, and possible transfers of data outside the European Economic Area.
Data protection authorities will continue to monitor the use of ChatGPT and ensure that the rights of data subjects are respected. Businesses considering integrating ChatGPT into their services should consider the risks of using it and the precautions to take to comply with GDPR.
The role of the CNIL
The National Commission for Computing and Liberties (CNIL) has published an action plan on artificial intelligence (AI) aimed at supervising the development of generative AI. These systems are capable of creating content based on instructions from a human user, but require clear queries to achieve the expected results.
The action plan has four main components. First of all, it is a question of understanding the functioning of AI systems and their impact on people, particularly with regard to the transparency of data processing, the protection of public data on the Web, the rights of people on their data, the prevention of bias and discrimination, and security issues.
Then, it is important to allow and supervise the development of AI that respects personal data. The CNIL offers educational sheets on AI, a guide for GDPR compliance, and is working on rules applicable to the sharing and reuse of data.
It is also essential to unite and support innovative players in the AI ecosystem in France and Europe. The CNIL supports innovative projects through a support program, particularly in the fields of health and education. It also wishes to engage in dialogue with research teams and French companies developing AI systems.
Finally, it is necessary to audit and control AI systems and protect people. The CNIL will monitor compliance with its positions and regulations, in particular with regard to the use of augmented video surveillance and the use of AI for the fight against fraud. It will also deal with complaints lodged concerning generative AI and ensure that the actors respect the rules for the protection of personal data.
The overall objective of the CNIL is to establish clear and protective rules to contribute to the development of AI that respects the privacy of European citizens. This initiative is crucial as generative AIs are rapidly developing in various fields such as text, imagery and speech.
It is important to remember that the suspension of the ChatGPT service of the American company OpenAI in Italy after an in-depth investigation by its authority into the problematic management of users' personal data by this generative AI underlines the importance of protecting personal data in the development of these technologies.
In conclusion, the CNIL action plan on AI is a crucial step to oversee the development of generative AI and protect the personal data of European citizens. It is essential that the actors involved in the development of these technologies work together to create an enabling environment for the development of privacy-respecting AI.
Text mining and artificial intelligence at the service of text generation: respecting copyright and the protection of personal data
Text Mining (or Text Mining) is a method of analysis that makes it possible to extract relevant and useful information from large amounts of textual data. Artificial intelligence (AI) plays a key role in this process, using automatic natural language processing (NLP) and machine learning techniques to identify patterns, trends and relationships in text data.
What conditions must the prompt respect in order not to infringe copyright and the right to the protection of personal data?
Some general advice concerning the respect of copyright and the right to the protection of personal data in the context of the use of a prompt. To avoid infringing these rights, be sure to observe the following conditions:
1. Do not use copyrighted content without permission: Avoid including text snippets, images, videos, music or any other content that is copyrighted without first obtaining permission of the author or rights holder.
2. Cite sources: If you use information or extracts from other sources, it is important to cite them correctly to recognize the original work of the author.
3. Create original content: Whenever possible, try to create original and unique content that doesn't directly copy other people's work.
4. Do not disclose personal information: To respect the right to the protection of personal data, do not request sensitive or personal data in the prompt and avoid including information that could identify individuals without their consent (names, addresses, telephone numbers, e-mail addresses, etc.).
5. Respect privacy: Do not share confidential information or details about the private life of others without their express consent.
6. Be aware of applicable laws: Copyright and personal data protection laws may vary from country to country. It is important to familiarize yourself with the applicable laws in your region or country and to follow them.
By following these tips, you can reduce the risk of infringing copyright and privacy rights when using a prompt. However, for specific legal advice, it is always recommended to consult a lawyer who specializes in these areas.
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