Privacy Policy

The AI-PROFICIENT project is committed to protecting your privacy and is developing technology that gives you the most powerful and safe online experience. This Privacy Policy applies to the Web Site of the H2020 AI-PROFICIENT project (Grant Agreement No 957391) and governs data collection and usage. The Web Site falls under the responsibility of the AI-PROFICIENT Consortium and is concerned with the dissemination and exchange of information about the research conducted in the course of the project and the outcome of this work. By using the Web Site of the AI-PROFICIENT project, you consent to the data practices described in this statement.

1. Policy Scope

This Privacy Policy applies to this Website https://ai-proficient.eu/privacy-policy/ and it applies regardless of whether you use a computer, mobile phone, tablet, TV or other device.

2. Personal Data that this Website collects provided by you and how we use it

Unless stated otherwise in detail in the relevant sections of the Website, Personal Data generated from the use of our Website is processed as follows:

a. Contact via electronic mail (e-mail)
Should you choose to send us an email, you can exploit the “mailto” function embedded in our Website. Clicking on the corresponding button generates an e-mail to info@ai-proficient.eu. Please note that your name and e-mail address is the only data we collect required for the specified purpose. Without this information we are unable to answer to your message and address it to you personally. The legal basis for processing Personal Data for the purposes set out in this Section 2 is art. 6(1)(b) of GDPR as the processing is necessary for the response to requests from the interested party.

b. Communication via contact form available on the website
Should you wish to contact you for sending you communications, newsletters and other promotions via e-mail or other electronic communications channels, you can exploit the contact form available on our Website which asks for your consent on this Privacy Policy. By consenting, you agree that we are allowed to process your personal data (name and e-mail address) for this purpose in the manner and under the conditions outlined in this Privacy Policy.

c. Site visitation tracking
We use Google Analytics (GA) to track user interaction and for statistical reasons. We use this data to determine the number of people using our site, to better understand how they find and use our web pages and to see their journey through the website.

Although GA records data such as your geographical location, device, internet browser and operating system, none of this information personally identifies you to us. Your computer’s IP address is anonymized by GA services and cannot be used to personally identify you. We consider Google to be a third party.

GA makes use of cookies, details of which can be found on Google’s developer guides. For your information, our Website uses the analytics.js implementation of GA. Disabling cookies on your internet browser will stop GA from tracking any part of your visit to pages within this website.

3. How we store your Personal Data

If you submit your contact details via the preferred e –mail message or the contact form, the only personal data will be stored is your name and email address we receive from you. We will not share your contact details with no one and will be securely stored by AI-PROFICIENT with access only by authorized personnel. This is currently the two occasions where personal data will be stored by this Website.

We utilize state-of-the-art technology to store your data. The following safeguards are used, for example, to protect your personal data from misuse or any form of unauthorized processing:

  • Access to personal data is restricted to a limited number of authorized persons for the stated purposes.
  • The IT systems used for processing data are technically isolated from other systems to prevent unauthorized access and hacking.
  • Access to these IT systems is constantly monitored to detect and prevent misuse in the early stages.

4. How long we will keep your Personal Data for

We will keep your personal information only for as long as it is relevant and useful for the intended purpose for which it was originally collected, or as required by law.

5. Cookies

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.

REQUIRED
The required cookies are always active. These cookies are needed to provide basic functionalities as you browse around the www.ai-proficient.eu website .

ANALYTICS
Analytics cookies are responsible for running the Google analytics service. Without them, it will not work. It can be on/off as per the visitor’s choice.

PERSONALIZATION
Personalization cookies are used to improve the overall experience of persons who visit the project web page. These cookies are optional as well. They track visitors browsing history and highlight the new, not opened items of the page.

6. Data Breaches

We will report any unlawful data breach of your data within 72 hours of the breach if it is apparent that personal data stored in an identifiable manner has been stolen.

7. What are your rights with respect to your Personal Data

Under the General Data Protection Regulation [Articles 15-21], you have a number of important rights free of charge. In summary, those include rights to:

Right of access:
You have the right to be aware and verify the legitimate nature of the processing. So, you have the right to access your personal data and receive additional information about how we process it.

Right to rectification:
You have the right to study, correct, update or modify your personal data by contacting AI-PROFICIENT at the info@ai-proficient.eu.

Right to erasure (Right to be forgotten):
You have the right to request deletion of your personal data when we process it on your consent or in order to protect our legitimate interests. In all other cases (such as, where there is a contract, obligation to process personal data legally required, or public interest), this right is subject to specific restrictions or shall not exist, as the case may be.

Right to restriction of processing:
You have the right to request a restriction of the processing of your personal data in the following cases: (a) when the accuracy of the personal data is contested and until the accuracy is verified (b) when you oppose the deletion of your personal data and request the restriction of their use instead, c) when personal data are not needed for processing purposes, they are however required for the establishment, exercise, or defense of legal claims, and (d) when you object to the processing and the decision on your objection to processing is pending.

Right to object to processing:
You have the right to object at any time to the processing of your personal data where, as described above, the processing is based on the legitimate interests we pursue as data controllers, as well as, for the purposes of direct marketing and consumer profiling, if applicable.

Right to data portability:
You have the right to receive your personal data free of charge in a format that allows you to access, use, and edit them with commonly used editing methods. You also have the right to ask us, in case it is technically feasible, to transmit the data directly to another controller. Your right to do so exists for the data you have provided to us and is processed by automated means based on your consent or for the execution of a relevant contract.

Right to withdraw your consent:
In cases where processing is based on your consent, you have the right to withdraw it without affecting the lawfulness of processing based on consent prior to its withdrawal.

If you would like to exercise any of those rights, please:

  • contact us using our Contact details below
  • let us have enough information to identify you,
  • let us have proof of your identity and address, and
  • let us know the information to which your request relates.

8. Time limits for compliance with your rights as Data Subject

We make every effort to comply with all requests within 30 days. However, this period may be extended for reasons relating to the specific right or complexity of your request.

9. Who is responsible for the processing of your personal data?

Your personal data are processed by AI-PROFICIENT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957391. You can contact us via e-mail at info@ai-proficient.eu.

10. How to complain

We hope that we can resolve any query or concern you raise about our use of your Data However, if you believe that we have not responded in an appropriate manner to your complaints or concerns, the General Data Protection Regulation also gives you the right to lodge a complaint with your local data protection or supervisory authority, in particular in the European Union (or European Economic Area) state where you work, normally live or where any alleged infringement of data protection laws occurred.

11. Changes to our Privacy Policy

The AI-PROFICIENT project will occasionally update this Privacy Policy to reflect consortium and customer feedback. The AI-PROFICIENT project encourages you to periodically review this Privacy Policy to be informed of how the AI-PROFICIENT project is protecting your information

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      Quiz

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      How does Machine Learning relate to AI?

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      Machine Learning is a subset of AI
      Machine learning is a subset of AI. The idea is that machines will “learn” and improve at tasks over time rather than having humans continually input parameters. Machine learning is a practical application of AI.
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      What is Neural Networks?

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      Is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain​
      Neural networks are a class of machine learning algorithms. The neuron part of the neural is the computational component, and the network part is how the neurons are connected. Neural networks pass data among themselves, gathering more and more meaning as the data moves along. Because the networks are interconnected, more complex data can be processed more efficiently.​
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      What is Artificial intelligence?​

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      Making a Machine intelligent​
      Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humans​
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      The characteristics of the computer system capable of thinking, reasoning and learning is known as

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      artificial intelligence​
      Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.​
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      The first AI programming language was called:​

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      IPL
      Information Processing Language (IPL) is a programming language created by Allen Newell, Cliff Shaw, and Herbert A. Simon at RAND Corporation and the Carnegie Institute of Technology about 1956. This is the first AI programming Language known.​
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      An AI technique that allows computers to understand associations and relationships between objects and events is called:​

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      pattern matching​
      Pattern matching is a technique used in AI which allows a computer program to identify a specific pattern that is present in a given data set and take appropriate actions based on the results of the analysis.​
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      Artificial Intelligence has its expansion in the following application.

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      All of the above​
      From manufacturing to marketing, businesses across multiple industries are leveraging artificial intelligence to optimize their processes and services.
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      Who is the father of artificial intelligence?​

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      John McCarthy​
      John McCarthy (September 4, 1927 – October 24, 2011) was an American computer scientist and cognitive scientist. He was one of the founders of the discipline of artificial intelligence.​
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      When did the term "artificial intelligence" first appear?​

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      In 1956​
      In 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, the term "artificial intelligence" was coined​
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      Which is not the commonly used programming language for AI?​

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      Perl​
      Perl is not the commonly used programming language for AI. ​
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      Great, now that you understand the basics of Artificial Intelligence, we suggest that you glance at our project documents highlighting the improvements that AI services introduced in the manufacturing industry.
      Within the AI-PROFICIENT project, we piloted seven different use cases run across different manufacturing sites of INEOS and Continental. Our solutions aim at improving manufacturing efficiency while keeping humans in control.
      The following questions are based on the outcomes of AI-PROFICIENT use cases and should give you an idea of the practical advantages of AI for manufacturing. Click next to get started.
      Answer
      Great, now that you understand the basics of Artificial Intelligence, we suggest that you glance at our project documents highlighting the improvements that AI services introduced in the manufacturing industry.
      Within the AI-PROFICIENT project, we piloted seven different use cases run across different manufacturing sites of INEOS and Continental. Our solutions aim at improving manufacturing efficiency while keeping humans in control.
      The following questions are based on the outcomes of AI-PROFICIENT use cases and should give you an idea of the practical advantages of AI for manufacturing. Click next to get started.
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      By how much percent AI implementation decreases raw material waste in tyres production?​

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      8%
      Combining Explainable AI algorithms with the global optimisation algorithms in the rubber extrusion allows continuous suggestion of the operator's optimal machinery parameters. This reduces the time when the rubber extrusion process is set and thus reduces the time when the suboptimal rubber outcome that cannot be used in further tire production.
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      Which of the following is a polymer extrusion process:​

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      A chemico-mechanical process​
      Chemically, the process involves the melting and flow of a polymer material under heat, which can result in chemical reactions such as degradation or cross-linking of the polymer chains. The chemical properties of the polymer material and the extrusion conditions, such as temperature, pressure, and residence time, can affect the final properties of the extruded product.​

      Mechanically, the process involves the deformation of the molten polymer material under pressure as it is forced through a die orifice to form a continuous shape. The mechanical properties of the polymer material, such as its elasticity, viscosity, and melt strength, determine its ability to withstand the stresses and strains imposed during the extrusion process.​
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      Which are the key elements of an optimization problem:​

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      The objective function, the decision variables and the constraints​
      The objective function defines the goal of the optimization problem, whether it is to maximize or minimize a certain value. The decision variables are the variables that can be adjusted or controlled to achieve the optimal solution to the objective function. The constraints are the limitations or restrictions that must be satisfied during the optimization process.​

      The other two options mentioned in the question are not related to the key elements of an optimization problem. Hyperparameters, validation schemes, and accuracy metrics are more related to machine learning or data science problems. The differential hypothesis is not a common term used in optimization problems. ​
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      When the blade of the cutting system starts to wear out but it can keep cutting:​

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      It might work well but chances are eventually it will compromise the quality of the final product.​
      As the blade of the cutting system starts to wear out, it will gradually lose its sharpness and efficiency, which can affect the quality of the cut and increase the cutting forces. If the blade is allowed to continue cutting even after it has worn out, it can lead to several negative consequences.
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      According to the literature, which are the three main sources of variation when trying to model a cutting process in an industrial setup:​

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      Workpiece factor, feed factors and saw blade factors​
      In a well-controlled manufacturing environment, the cutting process should be designed to be robust and less sensitive to operator variation. Regarding to the environmental factors, they are less significant compared to other sources of variation.
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      Developing the AI service which will improve tread alignment in part of the Combiline depends upon marking pictures of the tread pieces, which will then be used to train the AI. How should the developers and industrial partner approach this picture marking task for AI training?​

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      The developers should clearly specify how many pictures need to be taken, how long the process will take, and discuss with the industrial partner who will do it.​
      An ethical approach to this task involves clearly specifying how many pictures, and how much added work time it involves. On that basis the developer can discuss with the industrial partner who should do the task, e.g. whether the developers themselves are better placed to do it, or whether the industrial partner’s operators should do it. If the latter, it should be made clear to the operators whether they can refuse to do it, or it is an obligation which makes up part of their work. ​
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      What is explainable AI and how it can help in manufacturing?​

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      XAI stands for "explainable artificial intelligence" and it can help in manufacturing by improving process control, enabling predictive maintenance, enhancing quality control, and improving safety.​
      XAI stands for explainable artificial intelligence and provides insights into decision-making processes, identifies patterns and anomalies in equipment data, and detects defects in real-time. This allows manufacturers to make better decisions, reduce downtime and maintenance costs, and address problems quickly.​
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      How should the developers engage the operators when developing the AI service and related apps and HMIs, with the goal of simplifying the job of confirming correct chemical product bag placement before production? ​

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      The developers should work closely with the operators to design the services, choose the HMIs and adapt the apps, according to the actual work context. ​
      To implement an ethical by design user centered approach, the developers should work closely with the operators who will actually use the service. They should take care to understand the specific work conditions (dust, noise, time for tasks, etc.), discuss the planned solutions with the operator users, design initial mockups and discuss these with the operator users regularly in an iterative process as they develop the service. ​