Tag Archives: openai

3 January 2024
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OpenAI’s Data Privacy Strategy in the EU: Navigating Regulatory Challenges

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OpenAI, the renowned maker of ChatGPT, has recently announced a significant shift in its regulatory approach within the European Union. The company has taken proactive measures to mitigate its regulatory risk in the region, particularly in response to ongoing scrutiny over ChatGPT’s potential impact on users’ privacy and data protection concerns.

The forthcoming update to OpenAI’s terms of use indicates a strategic move to appoint its Irish entity, OpenAI Ireland Limited, as the data controller for users in the European Economic Area (EEA) and Switzerland. This significant transition, set to take effect on February 15, 2024, is aimed at aligning with the General Data Protection Regulation (GDPR) and leveraging the GDPR’s one-stop-shop mechanism to streamline privacy oversight under the lead data supervisory located in Ireland.

However, amidst these developments, it’s essential to consider a different perspective on OpenAI’s regulatory maneuvers in Europe. While the company’s efforts to establish a Dublin-based entity as the controller for European users’ data may streamline privacy oversight, concerns regarding the pace and cadence of GDPR oversight of tech giants in Ireland, including OpenAI, have been raised.

Critics have pointed out the regulator’s advocacy for substantially lower penalties than its peers and the glacial pace of investigations, leading to questions about the effectiveness of regulatory enforcement. The potential for OpenAI to obtain main establishment status in Ireland raises questions about the regulator’s ability to enforce data protection laws effectively, especially in the rapidly advancing field of generative AI.

Furthermore, OpenAI’s updated European privacy policy, including the assertion of relying on a legitimate interests legal basis to process people’s data for AI model training, has sparked discussions about the company’s approach to data processing and the broader societal implications. The introduction of new wording in the privacy policy suggests an intention to defend its data processing activities by making a public interest argument, raising questions about the alignment with the strictly limited set of valid legal bases for processing personal data under the GDPR.

As OpenAI navigates the evolving landscape of data protection regulation and AI technologies, the impact of its regulatory maneuvers in Europe remains a subject of ongoing debate. The potential for Ireland to exert significant influence in shaping the direction of travel concerning generative AI and privacy rights underscores the importance of scrutinizing the implications of these regulatory shifts.

In conclusion, while OpenAI’s strategic realignment of its regulatory framework in Europe aims to address data protection concerns and streamline privacy oversight, it also invites critical examination of the effectiveness of regulatory enforcement and the broader societal impact of AI-driven data processing. As the company continues to engage with European data protection authorities and navigate the complexities of GDPR compliance, the implications of its regulatory maneuvers will undoubtedly shape the future of data protection and AI governance in the region.

Sources:

Article: https://techcrunch.com/2024/01/02/openai-dublin-data-controller/

engine: YOUchat https://you.com/search?q=who+are+you&tbm=youchat&cfr=chat

Reference/useful links:

https://techcrunch.com/

https://x.com/OpenAI?s=20\

https://coingape.com/openai-moves-to-cushion-regulatory-risk-in-eu-report/

https://theconversation.com/us/topics/openai-24920

https://openai.com/blog/introducing-openai-dublin

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12 November 2023
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OpenAI just launched a new functionality

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Introduction:

On November 6th, OpenAI hosted its first-ever developer conference called DevDay in San Francisco, where it announced a platform for building custom chatbots.

How to use it:

Creating a custom ChatBot is very easy. First, you should have ChatGPT Plus, then click the ‘Explore’ button.

Next, click on ‘Create a GPT.’

Then, you have two options for creating a custom ChatBot: ‘Create’ and ‘Configure’. This article will focus on the ‘Configure’ option. We will create a functional chatbot for a management course.

In the ‘Configure’ tab, there are many options: Name, Description, Instructions, Conversation Starters, Knowledge, Capabilities, Actions, and Additional Settings.

The ‘Name’ will determine how our ChatBot will be named. In this example: ‘Management Assistant at KU ChatBot.’

The ‘Description’ is self-explanatory. It helps users understand the purpose of the chatbot. For example:

‘Instructions’ is the box where the prompt for the chatbot’s specialization is placed. Prompts for chatbots can be very versatile, from a personal therapist to the CEO of a big company. For this article, the prompt is as follows:

‘Conversation Starters’ are helpful tools for users who are unsure what to ask the chatbot. They are useful for common uses of chatbots like a shop assistant or as the first bridge between a customer and a company. For example:

Moving on to ‘Capabilities’, you can choose what the chatbot can access. Currently, there are three options:

  • ‘Web Browsing’: allows the chatbot to access the internet. Helpful for gaining insights from open sources.
  • ‘DALL·E Image Generation’: allows the chatbot to generate images using DALL-E 2. Useful in almost all creative work.
  • ‘Code Interpreter’: allows the chatbot to interpret and run code, read files, analyze data, and much more. Note that other functions of chatbot creation are locked by this function. Useful in automation, code debugging, and much more. For example:

Returning to ‘Knowledge’, this gives the ChatBot context. Context is embedded information that provides the chatbot with knowledge from PDFs or other text types. In this example, a PDF provided by professors from KU will be used. If the ChatBot’s ‘Code Interpreter’ functionality is not enabled, this won’t work.

‘Actions’ allow the ChatBot to use pre-written functions. This topic is too advanced for this article, so we will skip this option.

‘Additional Settings’ have only one checkbox. If checked, it allows OpenAI to use the created ChatBot to improve this new option.

Conclusion

I hope this introduction was helpful and allowed some people to understand how to create a ChatBot using OpenAI.

Sources:

youtube.com/watch?v=EWdCMPnm8uY

theverge.com/2023/11/6/23948619/openai-chatgpt-devday-developer-conference-news

AI:

Bing AI

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23 February 2023
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How OpenAI is trying to make ChatGPT safer and less biased?

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I think that everybody knows OpenAI, but did you know that this AI research facility is working to make their most known and useful language model, ChatGPT, more trustworthy and equitable? As with any machine learning system, ChatGPT is not immune to biases or safety issues that may be brought on by the training set and system design.

OpenAI is implementing several different strategies to enhance ChatGPT’s security and fairness to allay these worries. One significant project is the creation of a safety module that can recognize potentially dangerous or delicate content in generated responses. ChatGPT will be able to warn potentially harmful responses before they have been generated thanks to this safety module, which will be added to the model’s training procedure.

To lessen potential biases in the results of ChatGPT, OpenAI is also attempting to diversify its training data. This entails building datasets with a wider variety of viewpoints and experiences as well as applying strategies like alternative data preprocessing to produce a more varied training dataset.

The improvement of transparency surrounding the model’s training and performance is a critical component of OpenAI’s efforts to make ChatGPT safer and less biased. The data and methodology used to train ChatGPT and how it performs various tasks are described in-depth in technical studies published by OpenAI. By sharing this knowledge, OpenAI intends to help researchers and the general public gain a better understanding of ChatGPT’s potential and limits.

Finally, OpenAI is looking into how to include moral issues in the development and application of ChatGPT. This involves creating policies for the appropriate usage of ChatGPT in various applications as well as collaborating with a variety of stakeholders to comprehend the potential consequences of the model’s findings.

Overall, OpenAI’s efforts to improve ChatGPT’s fairness and safety are a major step toward creating more reliable and trustworthy AI systems. The dedication of OpenAI to transparency, diversity, and ethics is promising for the future of AI research and development, even though there is still more to be done to address potential biases and safety concerns.

Sources:

  • https://www.technologyreview.com/2023/02/21/1068893/how-openai-is-trying-to-make-chatgpt-safer-and-less-biased/
  • ChatGPT respond to question “How OpenAI is making ChatGPT safer and more balanced”
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29 January 2023
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AI is creating human proteins that can treat cancer, COVID and flu

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I think that almost all of you are familiar with a new shocking AI technology called Dall-e, which was introduced quite recently. This is a platform that generates images by just specifying what you wish to view. Social media sites are now crowded with these surprisingly detailed, often photorealistic images created by this or similar technologies. However, some scientists perceive it as more than just a means of creating pictures. They see it as a way to treat various diseases, such as cancer or flu.

Recently, by using these modern AI technologies, scientists have started generating blueprints for new proteins – tiny biological mechanisms that play a significant role in our bodies’ operation, ranging from digesting food to moving oxygen through the bloodstream. Although these proteins are produced naturally in our bodies, researchers are still striving to improve the ability to fight diseases and do things that our bodies can not produce on their own.

For more than 30 years, David Baker, the head of the Institute for Protein Design at the University of Washington, has worked to develop artisanal proteins. He and his colleagues have established this was feasible by 2017. However, they did not anticipate how the emergence of new AI technologies would radically speed up this task, cutting the period of time required to produce new blueprints from years to only a few weeks.

Proteins are made up of long chains of chemical components that then twist and fold into three-dimensional structures. Recent research from AI labs like DeepMind, which is owned by Alphabet, has demonstrated that neural networks can successfully predict the three-dimensional shape of any protein in the body based only on the smaller compounds it contains.

T1037, part of a protein from (Cellulophaga baltica crAss-like) phage phi14:2, a virus that infects bacteria.

Nowadays researchers are taking a step further by creating blueprints for totally new proteins that do not exist in nature, by using AI systems. The objective is to develop proteins that adopt highly specific shapes. A particular shape can perform a certain function, such as preventing the COVID-19 virus. Researchers can provide a rough description of the protein they want, then a diffusion model can generate its three-dimensional shape. However, scientists still need to test it in a wet lab with actual chemical compounds to make sure it functions as expected.

On the one hand, some experts take this innovation with a grain of salt. Frances Arnold, a Nobel laureate, comments it as “Just a game”. He states that what really matters is what a generated structure can actually do.

On the contrary, Andrei Lupas, an evolutionary german biologist, is convinced that it will change medicine, research and bioengineering. “It will change everything”. AlphaFold has helped him to find the structure of a protein he was tinkering with for almost a decade.

Personally I agree with a majority of researches and assume that AI is a tool for exploring new innovations that scientists could not previously think on their own.

References:

https://www.seattletimes.com/nation-world/artificial-intelligence-intelligence-turns-its-artistry-to-creating-human-proteins/

https://www.nature.com/articles/d41586-020-03348-4

https://www.scientificamerican.com/article/one-of-the-biggest-problems-in-biology-has-finally-been-solved/

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