 So, very welcome today. We have a great pleasure to have with us the President of European Networks for Academic Integrity, Tomas Fulteneck, and a dear colleague, also a member of ENI, Shiva Subramaniam. So we have two topics for you today. The first one is ENI Recommendations on the Ethical Use of Artificial Intelligence. And the second topic is European Conference on Ethics and Integrity in Academy in 2023 that Shiva is organizing in Derby. So yes, very welcome. So academic integrity and artificial intelligence. Very hot topic, Tomas. What do you have for us? Hello, everyone. What I have for you is the presentation of the ENI Recommendations. So let me share my screen. And even though you didn't have an opportunity to read this recommendation or come across with it because it was not published yet, it's going to be published soon. So let me present how or why and how we prepared this kind of document and what is in it. So first of all, let me remind you of the purpose of ENI. European Network for Academic Integrity is an association which aims to support higher education institutions to work together in the field of academic integrity. And as everybody noticed recently in media or at your institutions, artificial intelligence is becoming a topic that is being discussed at the university's worldwide. So we also want to support not only our member institutions, but all higher education institutions to tackle this topic and address this issue. Yeah, so we are by providing the recommendations we are following our objective, which is provide resources, promote collaboration, shared best practices, and also collaborate in research that is related to various topics of academic integrity. For those who don't know many details about ENI activities, the most important activities that ENI does are annual conferences, summer schools, other training events, and monthly webinars like this one. We are circulating newsletter every two months, we are quite active on social media, and we have a web page with a lot of resources, namely educational materials, glossary guidelines, self-evaluation tools. Most of the ENI activities are organized within our working groups, so currently we have around 15 working groups that are dedicated to particular topics. And these working groups play a significant role in designing this recommendation. So as I already said, probably everybody have noticed that various tools that employ artificial intelligence of different types and on different level are being released into the public domain. They mostly make our lives easier. I believe that all of us are using machine translation or grammar checkers like Grammarly. All these tools use artificial intelligence and all these tools pertain both opportunities and challenges to education. I don't want to talk much about particular challenges and opportunities. I will just refer to Thomas Lancaster's webinar, an ENI webinar that he conducted in September 2022, and it was dedicated particularly to artificial intelligence and academic integrity. Since that time, there were significant improvements, namely in generative AI tools. So these are, this is a particular subset of artificial intelligence tools that can generate the content for you. For example, this guy writing a student essay, it's not a picture of mine, it's not a photo. It's an image that was generated by mid-journey. I just told this tool that I want a picture of artificial intelligence writing student essay in blue and yellow colors and I got this robot writing an essay. So, and it's of course not only about images, but what creates the most concerns are the texts. So at the beginning of this year, at the beginning of 2023, we established an ad hoc working group within ENI. Here you can see that the members of the working groups that are the authors of the recommendations. So it's me, then it's Sonja from Sweden, Irene from the UK, Zenat from United Arab Emirates, Rita from Portugal, Peggy from European Students Union in Belgium and Julius from Slovakia. We met several times, so the process looked like this. We had the first meeting in January, where we drafted the list of ideas. It was the first brainstorming and we needed to clarify both the topics that we want to address, the structure of the document, and also the overall approach of ENI, so how we would like to address artificial intelligence in education and how we would like to address our members to address artificial intelligence in education and of course what kind of support we can provide to our member institutions. So the result of that brainstorming was just an unstructured list of ideas, very little structured list of ideas, and we circulated this to all ENI working groups and asked them to provide feedback to this document. This happened mostly in February and at the beginning of March, so we received a lot of additional ideas from the working groups. The working group dealing with glossary of terms provided the feedback for two definitions. The working group that is addressing contract cheating came with a new definition of new term, I will talk about it a bit later. The working group dealing with technology and academic integrity provided also useful feedback for us. So after collecting this feedback, we dealt with wording and we drafted the text and prepared a clean document. This document is ready now, but we haven't published it yet. We send it for publication to International Journal for Educational Integrity and it's currently accepted as editorial and should be published soon. I believe that next week or the following week it will be out so we will share this document via the ENI social media and we can send it also to the people who registered for this webinar as I presume you are interested in this topic. Let me now explain what is in the document and how ENI sees the potential and the challenges that are related to artificial intelligence in education. Part of the document is like presenting some basic facts, basic acknowledgments of the current situations and of course the very first thing are definitions. So for the definition of academic integrity, we used the ENI definition. Academic integrity is defined by ENI as a compliance with ethical and professional principles, standard practices and consistent system of values that serves as guidance for making decisions and taking actions in education, research and scholarship. Then there was a discussion about how to define artificial intelligence. In the end we we stick to the European Union official definition according to which artificial intelligence referred to systems that appear to have intelligent behavior by analyzing the environment and taking actions with some degree of autonomy to achieve specific goals. If you ask me journey how how to paint artificial intelligence you get something like this. Fun fact, I asked various image generating tools to to give me a picture of artificial intelligence what I'm constantly getting our pictures of women so if you have any doubts of what gender artificial intelligence is it's women. And there are several other other claims that provides the framework background and context for our recommendations. So the AI based tools that have particular impact on education are those who are those which can be used to transform produce or generate any kind of content. Most people are mostly aware of chat GPT which is here to produce text but it is not only about text is also about images other other categories of art music or programming code. Then we thought it is important to acknowledge there is increasingly challenging or even impossible to reliably distinguish AI generated content from human produced content. And also, we wanted to acknowledge that device access accessibility of artificial intelligence exacerbate existing types of academic integrity threats, namely essay meals, paper meals fabrication and classification of data and so on. In this point I would like to emphasize that we don't think that artificial intelligence is bringing any new threat, I mean something new in principle. It is just making current threats more visible and more severe because artificial intelligence multiplies the abilities of those who want to commit misconduct and these tools are more accessible. But all the problems like plagiarism paper meals data fabrication data classification and so on have existed in academia before. So artificial intelligence doesn't bring any new threat it just exacerbates what is what existed here before as artificial intelligence are penetrating into more and more areas of human activity. We think that students, teachers, everyone will be constantly using AI tools in their profession. And it's okay it's it's fine using AI tools is is does not mean does not automatically mean misconduct. So we want to acknowledge that authorized and declared usage of AI tools is usually generally acceptable. But in some context it may fit the definition of academic misconduct. In this point we looked at the definition of academic of the ni definition of academic misconduct in the ni glossary, where the misconduct is defined as any action or attempted action that undermines academic integrity and may result in an unfair academic advantage or disadvantage for any member of the academic community or wider society. When you look at this definition, it may not be really clear whether unauthorized or undeclared use of AI actually fits this this definition, even though we think it does some people for some people it might not be clear. Here, thanks to the effort of the working group addressing contract cheating, we are coming up with with the new definition of new term that for in our opinion better describe the risk that is related to unauthorized content generation generation using artificial intelligence. So that the new term that we suggest an authorized content generation is defined as a production of academic work in whole or part for academic credit progression or a word, whether or not a payment or other favor is involved using unapproved or undeclared human or technological assistance. So this definition encompasses both contract cheating and ghost writing that we have been addressing long time ago, and also unauthorized or undeclared assistance of artificial intelligence that produces the academic work for you. So all these both of these, both of these types of misconduct have have now umbrella term unauthorized content generation. So in this point, we also wanted to emphasize what I already mentioned that artificial intelligence is multiplier of users ability, and it multiplies both good abilities and bad abilities. So both students, teachers or basically anyone can use artificial intelligence to good purposes to enhance student learning and to make it more efficient and to achieve desired learning outcomes or to make shortcuts and and commit misconduct. I believe that you have heard about the about the tools that are able to generate, for example, software code. So it's this kind of tools multiplies the abilities of the programmer. And it's both in good and bad way, you can use it to generate the program code for for a program that will be useful for a useful application that creates the benefits for the society, or you can produce it to you can use it to to produce a virus or or some malware. From the point of the technology from the technological point of view is the same issue, but then it depends on the user in which way he or she uses the technology and the same. The same situation is with AI in education, it can be used in both in good way and in bad way. And at the universities, we can't say that artificial intelligence is something that we that we don't address at all and pretend it doesn't exist. AI is penetrating all areas of human activity. So all university graduates should be prepared for using AI in their future future jobs. So the tools relevant AI tools should be embedded in the in the curricula and students are already aware of these tools. We can't prevent them from using them. So we we should we should address this issue we should tell them what is allowed and what is what is not. Among the working group that developed these recommendations we had discussion about what should be what should be acknowledged. Not only and not only in relation to the technology, but but in general, when you have the either the student work or a scientific paper. So what what kind of other people or other other sources input should be should be acknowledged. And we want so so we we tried to come up with a formulation of a pretty clear clear criterion. And the wording that we agreed on is that all person sources and tools that influence ideas or generate the content should be properly acknowledged. And consequently, whenever the AI tool is used to produce the content it should be acknowledged. Somehow, the specific form of acknowledgement may differ. It will be different for a student essay will be different for for a thesis different for for scientific paper different for presentation. If it is possible, also the prompt should be provided, but this is complicated in most most situations or even impossible in most situations. Appropriate use of services sources and tools that doesn't that don't influence the content but only influence the the form is generally acceptable even without an arrangement. This means that proofreading proofreading by people or proofreading by by tools spell checking using using test hours and so on, does not influence the content significantly and does not have to be acknowledged. Another topic that we deal with is responsibility. To play it with chat GPT already realized that the output that this language model provides provides can be inaccurate biased or incorrect, but the tool presents it's very confidently, like given facts. So user should be aware of the limitations of these tools and also of the fact that neither the AI tool nor the provider of the AI tool take responsibility for the generated content. Yeah, so it's just the content that the tool gives to you and then how you use it is your responsibility. So human user is always responsible for what is done with the with the output of artificial intelligence. Consequently, AI tool cannot be listed as a co author of any kind of publication. You can also see the guidelines for authorship of committee committee for publication ethics. There are four criteria of authorship and one of them is that all authors have to approve the content of the publication and the last one is that all authors have to take responsibility for the publication. The AI tool never takes responsibility and can never approve the content, which means that can never be listed as co author. But of course, when the human authors use AI tools in whatever way they should enrich using of of AI tools as I talked about it before. So here is the future university education with artificial intelligence, according to mid journey and what will the future look like. In terms of students students should be included in in the conversations about artificial intelligence at every institution and should be also educated on on how to develop their skills with AI. For every task that students are given with artificial intelligence it is more and more important to to explain the students the purpose of the activity. So the students have to understand that the purpose of the task is not to submit an essay submit a document and do not focus on the result, but focus on the process the purpose of the task the purpose of the assignment is to gain some learning outcomes, and this requires some process and they have to go through this process, just asking artificial intelligence to generate the reason that the result does not lead to higher learning outcomes and is not the purpose of the assignment and most students are we still believe that most students that are at university want to learn something. So even by explaining the purpose of the task, it creates the intrinsic motivations for for students to to complete the assignment or complete the task with integrity. In general, my personal opinion is that in most of the cases students should be allowed to use AI in a in a constructive way, but I know that some people some some of my colleagues have different opinion for that. So this is something that should be clearly stated for each particle assignment should be stated what kind of tools are allowed and what what are not teachers will have to change ways of assessment they will have to change how they are how what tasks are used for for assessment. So teachers should receive training on ethical use of AI, including the development of relevant learning outcomes and assessment assessment strategies. And this of course doesn't happen just overnight it requires requires long term activity, and it requires some oversight, both at institutional level and at national level. We believe that in each country they there should be national guidance providing an overarching advice on what institutions should include in their policies. What I see is as particularly important and crucial to be included in that policies. So they should define rules on allowed use of artificial intelligence. Of course, there should be space for specific rules on course level in some context in some settings it is perfectly okay if teachers prohibit all types of technology, whereas in other courses it might be okay to use any type of technology, and there is a scale. So what a lot of courses will be somewhere in between. So the teachers or course coordinators should be given the freedom to to set clear rules in their courses, but in case they don't do that, or in in cases that are above the course level like thesis submission and so on. There should be default rules on the institutional level, what is allowed and what is not. And in the cases that are allowed, how to acknowledge usage of AI tools. Just having the policy, of course, is not enough. The policy and the rules should be clearly communicated to teachers, students, administrators, basically to all stakeholders at institutions. And also institutional policies should guide users on how to correctly and transparently and knowledge, the use of AI tools in different types of outputs. And so the arrangement might be different in assignment in dissertation in in paper in book and so on. So this should be specified in in the policies. So these are the general recommendations that and I and I is giving and the at the end of the document we have a summary statement that there is no doubt that artificial intelligence brings significant change to education. And as with any other technology, it extends and enhances human abilities and may be used both in positive and negative way. And I urges national policy makers institutions and all individual members of academic community to seek ways on the ethical use of AI and share share best practices in order to benefit from the opportunities that AI brings to education and science. And we want to play an active role in support of sharing best practices. So what are what are the next steps. The first step of course is get the recommendations published, and we presume it will be leaving documents so we want to collect, collect the feedback from from anyone anyone is welcome to provide us with feedback to to the discussion and there will be a special session dedicated to this recommendation at the European Conference of Ethics and Integrity in academia in Derby. After the discussion we may we may refine the content of the recommendation and publish second version. Let's see, but what we certainly want to do is sharing good practice on how the, how the tools are used at different institutions. And there will be of course development of educational materials. Of course, many institutions already do develop their educational materials so we invite them to let us know so that we can, in case the their materials are publicly available, we can include them in the ni database. So that's all from my side for now. And before we go to the next topic that is that is the conference. I believe that we have some time for questions. Thank you for your attention. Thank you so much. There was one question that I believe you already answered in UNI. Are there any recommendations on how to site AI generated text. And I think you talked about it in your presentation after that. I talked about the necessity of having that the policy that will advise the members of academic community on how to how to site AI generated text. We don't have anything like that specifically in in the recommendations yet. This is the first document that and I is going to publish on this topic so it's on kind of general level. Of course, we will have to adapt the general guidelines for academic integrity. And there will have to be some some more specific guidelines but we don't have anything like that that yet. But as I said, artificial intelligence does not bring new anything new in principle. It just makes current challenges much stronger. So an arrangement of whatever whatever content you take is pretty similar to an arrangement of what you have the I don't know discussion with colleagues or personal communication or something like that. If you don't know how to how to site the output of AI, you may already refer to existing guidelines and just select the case that is more most similar to to to your your case. There is a follow up questions in the chat. What do you think of MLA and APA citation recommendations for AI? Are they appropriate or not? I am sorry but I haven't haven't seen this specific recommendations for for AI so I'm not able to answer the question sorry. And then. Yes, they can provide links. Thank you. So thank you. I think that these recommendations are more on the on the level that's a bit higher than than. Then citing. It's about more about whether we should use off a bit. AI. Or what is. Oh, I can I can see now that the example of how to site GPD. Well, yeah, that's how I would do it, or maybe, maybe I would I would provide more. Okay, so this is this is the reference and the list of references and then then we have this kind of in text citations. So as this is the language model that provides the longer text so it should be it should not be copy pasted to your work it always requires some some comments around that. It's the good space to put the prompt and to specify, specify the communication that that was there yet so in my opinion this is this is appropriate way how to how to side it and I would not do it differently. Yeah, you can see the chat Emily asked to include the prompt also. During the prompt is is difficult because if it is just if it is just that you put the prompt and get the result. Then you can or you should put the prompt and this were the cases of the images that I used to decorate my presentation. It was quite simple prompt and it was okay for me to copy that prompt and put it to the slide to an orange. But whenever there is longer conversation and more and wider context, which is the case of chat GPT it takes into account all the previous conversation that you had and all all the previous versions of the document and you may ask for for corrections improvements and so on. And in this case, the previously generated content in fact becomes the part of the prompt, and it's not possible to to include it in it to put whole prompt in in your in your work. So it can either be provided as a supplement material as appendix if it makes sense, or you you should just describe what was the initial request and then you iterate it to iterate it your request to to get this this kind of output. And there was also a question about about prohibiting or or supporting these tools or promoting these tools. I am optimistic in in this in this aspect. And also I'm a member of the working group of Masarik University that recently published the position and our university is very positive about that week we acknowledge that we can't prevent students from using that. We know that it is probably impossible to detect AI generated content. And even if it was possible to detect it is impossible to prove it. So we encourage students and educators to to use it to be creative and to seek the positive ways of how to how to use AI positively. We have a comment here that Proplexity AI does generate URL that returns the original answer. And that does seem constant. However, not all AI is doing it. So it's very hard to to have this level. I personally think that it's good to have to save screenshots in order to prove what happened, basically, if you use it. So I always recommend it. Then we can see if someone asks you will have a background of your research and how you use it. Yeah, being as transparent as possible and like following good practice of any scientist they're taking proper records of all the steps that are reading to the outputs this refers to using of AI as well. We have another question in Q&A. Do you have any examples in mind the benefits of using AI and teaching and learning? Well, the benefit for me, I subscribed to the journey and I use it a lot to create images that make my presentations more lively. So that's the benefit for me as a teacher, certainly. And it was nice topic for student assignments in my course Ethics and IT. I asked my students to explore the ways how chat GPT or similar tools can be used to solve tasks in the course according to their selection. And now I'm reading what they came up with and it's really interesting. In some courses, chat GPT would pass, would get, I don't know, 80% of points, whereas in other course it's more difficult. And sometimes they have interesting ideas on how to use chat GPT constructively. But it differs course from course, of course. Yeah, I told my students in language courses that they can use it to produce text in order to train their language skill. So I see quite a lot doing it for L2 learning that it's quite many things we can do actually. And you have beautiful graphics. You've got the comment on that. Okay, thank you so much, Tomasz. So AI is one of the topics that are going to be discussed on the next ENI conference, European Conference on Ethics and Integrity in Academia. So Siva, Siva, Subrahmanyam, welcome with your presentations. You're hosting this conference. It's going to be Darby University. So tell us more. And if you have any more questions to Tomasz or Siva, you can post them in the chat. So hopefully we will have a few minutes at the end if you come up to something. Hopefully you can see the presentation now. So yeah, just welcoming you to the University of Darby for the 9th European Conference on Ethics and Integrity in Academia, ECEIA 2023. Just to give some additional information in addition to the website we are having. First of all, I need to explain a little bit about the registration process is the fact that we got two websites. One is for paying for the conference registration. The other one is the conference page about the topics and everything. So the conference page will give you update information about the conferences and the topics and the changes in any, if any, in the venue or topics. But the registration website, there's another link. The reason behind that is that this is the first European conference from ENI, which is happening in the UK and because of the currency changes, it would be easier to handle two different websites. So that is to start with the explanation why we are having two different websites, especially for the registration. Yes, this is going to be hosted in the University of Darby within the School of Human Sciences. We have already booked the rooms and the lecture theatres for you. And just to let you know the deadline for early registration is on the 15th, which is tomorrow. However, we know that some of you are still waiting for the reviewers' comments. And those of you who have submitted your original submission on before 22nd of March, we will look into you keep your early birth registration because it's not your fault that you submitted on time, but the reviewing process is getting delayed. So you can still be able to register yourself with the early birth registration fees. So the conference will host invited speaker keynotes, expert panel discussion, and anything, you know, the AI related or open AI related texts and the figure generation and we can discuss about it. We have invited the sponsors. The sponsors are mostly people who are working in the text matching software, developing text matching software. So we will have a discussion panel with them. We will ask the question. We challenge them to provide an improved version to at least with a 50 to 80% accuracy to point out the AI generated text. And also we can also discuss about the questions we discussed here, especially I was keeping quiet because I will get a chance now to talk. We talked about the how to cite the AI generated text, but I just wanted to show my point of view is that in promises presentation here actually pointed out that the responsibility, the responsibility, the AI doesn't take any responsibility. So I'm just putting my comments here so that we can discuss that in the conference as well that if the AI is not going to take responsibility, whether it is fluid and for us to cite the AI generated text. And that again, we can use it for our advantage to make the students and the economics understand that the AI doesn't take responsibility. So whatever they are doing from the AI need to be checked by themselves because as authors, they are responsible for that. So there are some disadvantages about ethically citing the AI generated text, but also we can make it as an advantage to teach the students and the academics how to use it or how to take the responsibility of AI generated text by checking it. So that is a learning process. We can discuss that as well. And the, as far as the online participants are concerned, they will be allowed or they will be able to attend all the keynote speeches, panel discussion, and we have a separate section for online presentation. They can present it there as well. And also when we talk about the conference, the conference is an opportunity to learn, share and collectively discuss. So even if you are not presenting anything, you're all welcome to view your point of view. Discuss with that is more or less an academic community helping each other using this opportunity to meet up in Derby and we can discuss that further in different areas of AI generation or how to use AI generated text. And also the traditional problem we have been facing with the plagiarism, avoiding plagiarism. And one of the good thing I learned from this hosting this conference that there are so many presentations that are based on school level research. And that is something that, you know, in AI as an organization, we are focused about the future generation. So we are always think and research about how to enhance the academic integrity related work from the school level. So I'm really pleased to let you know that around two or three or actually more probably more than the last time I checked this on a three or four submissions about school level contributions as well. So the topics are mainly current topics including AI research in the area of research ethics and the academic integrity initiating the academic integrity in the school. That's what I am really proud because there are so many school related research are being submitted. They are, they are highlighting students as leaders in academic integrity. And also we will discuss about the ethics and integrity in post COVID era, bridging the academic integrity with research ethics. These are the traditional research areas of AI and also the others and the new threats, new threats out to change the challenge and the threats into opportunities. And one of the which we have already discussed with Thomas now, academic integrity and text matching software and the teacher training as well. So these are the sub theme or sub topics they are of the conference. And again, I re emphasize the importance that it is not the fact that you need to present. If you are interested in the academic integrity or research ethics, you're always welcome to attend to discuss and critically analyze the current situations. So as far as submissions are concerned, I am really proud that there are around 146 initial sufficient from six different continents they are, they are actually named here. And 95 of them so far until 10th of April this week, 95 of them are fully accept accepted. There will be three keynote speech each one each for the day and three panel discussion. So far with the based on the abstract submitted abstract or accepted abstract there will be 83 presentation, eight workshop for posters or infographic infographic and also as for 10th of April, there are 50 people have already registered and again, we urge you urge others to register as soon as possible. And these are our sponsors. And again, sponsors will be involved in that discussion, especially around the AI. There are two academic sponsors. Apart from ENA is as a ethnic and the university of darling. There will be social activities. I include included the ENA annual general meeting as a social activity because we are a professional network. So that is going to happen in the 12th of July 2023. That will be followed by welcome reception. And the next day we will have a trip to Kiddleston road probably in the morning. And then we will have the dollar dinner on the same day and there will be closing ceremony on the 14th of July as well. And this is just a glimpse of Kiddleston all where you can spend probably people have a picnic over there as well. We are these early stage. We are still organizing things. And as for the travel guide and the nearest airports are given there that very nearest one is the East middle airports and most of the European destination will have a flight from to the airport. It's around 20 minutes from Derby. There will be styling buses for every 20 minutes as well. And some of the international non-Europe flight might come to Birmingham airport. Again, you need to catch a train from there. Frequent trains are from Birmingham to Derby probably every half an hour from 6 a.m. to 10 or 10.30 a.m. As for Heathrow, the best way is either by train or coach, but I would personally advise to take a coach because there is a direct coach available at certain time points. And throughout the day from Heathrow direct to Derby as well. And the example travel plan with links to book either National Express coach or British Rail will be available on the website. The website link is given there as well. As far as the accommodation is concerned, these are the conference organizers recommendation. So Leonardo Hotel, Stewart Hotel and the travel lodge and please note the travel lodge is slightly far away, although cheap, slightly far away from the conference venue. And we have arranged the shuttle bus from Leonardo Hotel to and from the conference at conference time, which will be updated soon. And I think there's only a very short walk from the Stewart Hotel to Leonardo Hotel if you want to catch the conference shuttle bus as well. As for travel lodge, you need to take a bus to railway station and then go to the Leonardo Hotel for the shuttle bus. And those of you who are planning to stay back again Derby is as a picturing area. There are so many mountainous area peak districts are there for you to explore and those information will be available with your conference back when you come over here. So we look forward to entertain you in University of Derby. And if you have any questions regarding conference, you can email the email address is there or you can post the questions here. I will try to answer as much as I can. The reason I'm saying I try to answer is the fact that we are still finalizing things. So some of the questions I may not be able to answer straight away, but we will be in touch. That's it. I will stop sharing my conference presentation. If you have any questions, I am happy to answer it. Can we get a ride on your motorcycle? That's my question, of course. Yes. You promised us when we... July is the middle of summer. So I think we'll have at least around 10 to 11 hours of sun. We hope. But we never predict British weather. You can predict British but not British weather. We are looking forward to it. Can you repeat who are the keynotes for this year's conference? Oh, I need to check myself. This is a conference webpage. If you visit the conference webpage and what we do is we did three keynotes. I think two from Europe and one from UK. And two panels or we call it expert panels from UK and also Europe as well. If you go to conference website, you can see more detail as well. And the main thing I wanted to emphasize is that never mind whether you are presenting or not, but if you are interested to talk about, discuss about and attend these conference plays, you are all welcome. Okay. I'm going to show my screen and show who keynotes are. So you have as keynotes, Professor Sharik Witt, President of the National University of Kiev, Mohova Academy in Ukraine, Professor Michael Draper, Dr. Mary Davis. And then we have discussion panel members, panel one on ethics integrity and current integrity projects with Professor Julia Priest-Buhite, Professor Marietta van den Hoven and Dr. Anna Albakina, as well as Lisa Dippendale. And as the conference is in the UK, we will have Dr. Irene Glendening, Dr. Robert Crockett, Dr. Thomas Lancaster, Dr. Sandida, I know it's really well-known names for INEI and RDR members. And we also have some pre-conference workshops, training the training academic staff, training in academic integrity workshops with Zee, Nat Khan and Rita Santos, ethical publishing and dissemination with Irene Glendening and Salim Razi, and then ethics and integrity and supervision workshop with the two of us, Shiva and me, having that one. I also would like to invite you on our next webinar that is in May 12th with Philip Newton from Swanson University, who is always really interesting to listen. He's going to give us some tips and tricks for running survey-based research in academic integrity. You can register on the academicintegrity.u slash vp slash eni monthly webinars as always. So please do because I think it's going to be really interesting to hear. He has to say. So do we have any more questions for Shiva or for Thomas? The website will be frequently updated. So just in case, even if they miss anything, they can go to the website and see. So thank you both so much for giving us these presentations. And thanks to all our attendees and for your questions, tips, link. I'm looking forward to the editorial, of course, International for Education Integrity. And follow us on Twitter, follow us on Facebook, sign up for the newsletter of the ENI, and of course, see you in Derby, hopefully. Thank you. Bye. Bye.