AI at TalTech

TalTech’s vision

TalTech sees artificial intelligence as a transformative direction that affects the entire landscape of research and education. Our goal is to not merely be users of the technology, but responsible leaders and trendsetters in research, teaching, everyday work, as well as in shaping ethical and legal frameworks.

At TalTech, AI is not just a new tool, but an accelerator of institutional evolution that touches teaching, research, management, work processes, and infrastructure. To do so, we have established a strong coordinating structure at the university level, through which we support students, lecturers, researchers, and staff with training and adopted a carefully chosen set of AI tools along with guidelines, resources, and a support framework to ensure responsible use.

Rules in force at the university

At TalTech, the use of artificial intelligence is regulated by several agreements and guidelines. For teaching, the Guidelines for the Use of Artificial Intelligence in Teaching have been prepared, providing instructions on how to apply AI in a way that supports learning objectives and does not undermine the integrity of the learning process. In addition, the Tallinn University of Technology rules on the processing and protection of personal data must be followed, which set out the principles for collecting, storing, and processing personal data, along with agreements and guidelines established within individual faculties or units. The Education Department has also developed guidelines for adapting to AI tools in teaching and created a self-check framework to analyse the use of AI in learning.

At the national level, the Ministry of Education and Research has issued recommendations for the use of AI in education, emphasising transparency, the development of critical thinking, and protecting students from excessive automation. At the European Union level, the General Data Protection Regulation (GDPR) applies, setting rules for the processing of personal data in AI systems as well. GDPR requires ensuring that the use of AI does not violate privacy or create additional data-related risks. In addition, the EU Artificial Intelligence Act (AI Act) is being gradually enforced, introducing risk-based categories for AI solutions and bringing additional transparency and security requirements for systems used in the education sector and in research.

The use of AI at TalTech is based on the following principles:

  • Critical thinking and avoiding bias – AI outputs may not be factually accurate or neutral, therefore they must always be checked and evaluated with a critical eye.
  • Privacy and data protection – sensitive and personal data must not be entered into unsupported AI platforms. Only secure solutions permitted by the university or assessed under these guidelines may be used (e.g. Microsoft Copilot, in the future ChatGPT Edu).
  • Transparency and referencing – the use of AI tools in work must be disclosed honestly, for example in the preface, as a reference, or in a dedicated tools section.

Before using an AI solution, its compliance with these guidelines must be validated. The exception is centrally provided solutions offered by the university (Microsoft Copilot and, in the future, ChatGPT Edu), which have already been assessed as highly suitable. For all other solutions, suitability must be evaluated based on the criteria outlined in the guidelines, taking into account both data protection and confidentiality requirements. The final responsibility always remains with the user — including data security, protection of personal data, and compliance with the service’s terms and conditions. If necessary, IT user support should be consulted before adopting a new AI solution to ensure alignment with the university’s rules and legal framework.

Guidelines for Assessing the Suitability of AI Solutions

Purpose
This guideline helps TalTech employees assess the technical and legal compliance and purposeful use of new AI solutions, based on EU AI Act risk levels and GDPR requirements.
The guideline must be used by anyone who wishes to use or adopt an AI solution in professional activities that is not centrally provided or managed by the university.

The assessment takes place in two stages:

  • Part I – the solution is assessed based on six criteria (5 mandatory and 1 optional), using the traffic light principle.
    Part II – the results are summarized, and it is determined at what suitability level and under what conditions the solution may be used at the university.

Part I – Technical and legal suitability of the solution

  • Data storage location – Assesses where the data used and stored by the AI solution is located.
    🟢 Green – Data is located in the EU or in data centers within the EU and complies with EU data protection requirements.
    🟡 Yellow – Data is located outside the EU in countries with certain data protection safeguards, but not fully at the EU GDPR level.
    🔴 Red – Data is located in countries lacking adequate legal safeguards or with high political and security risks.
  • Use of data for model training
    🟢 Green – Terms clearly confirm that data is not used for model training or it is disabled by default.
    🟡 Yellow – Model training is enabled by default, but the user can disable it in settings.
    🔴 Red – Data is used for model training without restrictions and cannot be disabled.
  • Data ownership and usage rights
    🟢 Green – Data remains the property of the university or user, and the service provider does not use it for other purposes.
    🟡 Yellow – Data remains the property of the university or user, but the service provider has the right to use it to a limited extent.
    🔴 Red – By submitting data, the university or user loses effective ownership and control rights.
  • Ethical, pedagogical, and scientific suitability
    🟢 Green – Terms state that the solution avoids bias, discrimination, and unfair influence.
    🟡 Yellow – Ethical principles are present in the terms, but independent evaluations are lacking or limited.
    🔴 Red – No clear ethical guidelines exist, or there is evidence of bias/unfairness.
  • Service provider’s cybersecurity and data protection level
    🟢 Green – Holds international certifications (e.g. ISO/IEC 27001, SOC 2, GDPR compliance).
    🟡 Yellow – Partial compliance or certifications in process.
    🔴 Red – No certifications or inadequate description of security measures.
  • Integration possibilities and compatibility (optional)
    🟢 Green – Supports SSO (UNI-ID/Entra ID), SCIM, and API interfaces.
    🟡 Yellow – Supports some but not fully.
    🔴 Red – Does not support SSO or other critical integration options.

Part II – Purposeful use and risk level

  • 🟢 High suitability (green) – No criteria are red and at most one is yellow. Suitable for use also with personal data and internal documents.
    Use when: the solution is needed in the work process and personal data must also be processed.
    Examples: Microsoft Copilot (M365), ChatGPT Edu.
  • 🟡 Limited suitability (yellow) – All criteria are green/yellow, none are red. Recommended only for public or low-confidentiality data.
    Use when: you need a solution for processing public information or low-confidentiality data.
    Examples: Public ChatGPT, some cloud-based image generators.
  • 🔴 Unsuitable (red) – At least one criterion is red. Must not be used in everyday work.
    Use only when: testing with public data or exceptionally in a research project.
    Examples: AI services based in China or Russia.

Note: The traffic light suitability level indicates technical and legal compliance, but the EU AI Act risk level and the purpose of the solution must always be taken into account.

EU AI Act risk levels – must be considered in addition to the suitability level:

  • ❌ Unacceptable risk – prohibited activities
    Examples: covert psychological manipulation, unauthorized facial recognition, discriminatory algorithms in evaluation or recruitment.
    Must not be used.
  • ⚠️ High risk – directly affects rights and freedoms
    Examples: automated evaluation, recruitment systems, predicting academic progression, management of critical infrastructure.
    May only be used with highly suitable solutions and prior risk analysis.
  • ℹ️ Limited risk – transparency requirement
    Examples: chatbots for sharing information, image generators for creating learning materials, text tools for structuring lecture materials.
    Allowed only with highly suitable solutions, provided users are aware of the AI’s role.
  • ✅ Low risk – everyday aids
    Examples: email sorting, time management assistants, grammar checking in work tools.
    Suitable for regular use; limited suitability may also be used.

Tools

AI is becoming an increasingly important tool in universities, helping to improve teaching, research, and administrative processes. The following provides an overview of the main AI tools at TalTech.

ChatGPT EDU

Starting from 5 December at 13:00, ChatGPT EDU licenses will be made available to all TalTech employees. This guide provides an overview of the solution and how it can be used.

ChatGPT Edu is an AI assistant based on the GPT-5 model, one of OpenAI’s most capable models for supporting work and learning. It can be used for writing and editing texts, conducting research, analysing data, creating code, developing ideas, and speeding up everyday work tasks. ChatGPT Edu is designed specifically for universities and operates in a secure environment where data is not used to train base models.

Below you will find consolidated instructions for logging in and using the application, explanations regarding secure and compliant use, information about previous ChatGPT accounts, an overview of sharing assistants and projects, credit-based features, and the duration of the license.

What is ChatGPT EDU suitable for? 

ChatGPT EDU can be used for: 

  • drafting documents, guidelines, and initial concept versions; 
  • summarizing long texts, reports, and research papers; 
  • simplifying and explaining complex topics; 
  • generating ideas and questions (for training, learning materials, process development); 
  • creating or adapting preliminary versions of learning materials; 
  • rephrasing, refining, and translating texts. 

Users must always review AI output and adjust it to TalTech’s needs. 

How to access the ChatGPT EDU workspace? 

  1. Starting 5 December at 13:00, you will receive an OpenAI invitation to join the TalTech EDU workspace (sent to uni-id@taltech.ee). The email will come from noreply@tm.openai.com. 
  2. In the invitation email, click “Join workspace”. 
  3. In the window that opens:
  4. Enter your uni-id@taltech.ee address in the email login field and click Continue.  DO NOT choose “Continue with Google / Apple / Microsoft / phone”.  Social login cannot be used and is not connected to the university workspace
  5. On the next page, select “TalTech Edu” and log in using your regular TalTech UNI-ID credentials.

If the invitation does not arrive on 5 December, please also check your spam/junk folder. In case of issues, contact helpdesk@taltech.ee 

How to access ChatGPT EDU (web and app) 

ChatGPT EDU can be used in a web browser or as a standalone application. We recommend using a modern browser (Edge, Chrome, Firefox, Safari). 

Application on university-managed devices: The ChatGPT app can be installed only via Company Portal (the same location where other work tools are available). It cannot be downloaded manually from the OpenAI website on centrally managed devices. After installation, you may pin the app to your desktop or taskbar for easier access.

Application on personal devices: On personal or otherwise unmanaged devices, the application can be downloaded from OpenAI’s official page: Download ChatGPT App.

Mobile app: We also recommend installing the mobile app: iPhone: available in the App Store, Android: available in Google Play 

Safe use – quick guidelines 

When using ChatGPT EDU, follow these principles: 

  • Always review the output. AI provides a draft or suggestion, but the final content and decisions are the responsibility of the human user.
  • Use the tool primarily for generating ideas, drafts, and support text, not for making official decisions or as a source of absolute truth. 
  • Do not enter sensitive or confidential data.
  • Do not upload datasets containing student or staff information, including grades, personal ID codes, CVs, recruitment files, or other personal data.
  • Do not enter health information, special needs, social support data, disciplinary or procedural information, documents marked AK, or trade secrets.
  • Do not provide passwords, API keys, access credentials, or technical configurations.
  • Use only material you have the right to use. Respect copyright and licensing restrictions.
  • Do not allow AI to make decisions that impact people’s rights or obligations. Recruitment, evaluation, support decisions, and other substantive decisions must be made by a human.
  • AI output is not the final truth. It must not be presented as original work, an official position, or a finished version.

Data protection and privacy:

  • ChatGPT EDU input and output remain the property of TalTech and are not used for training OpenAI models. 
  • OpenAI acts as a data processor and stores TalTech data within the EEA/Swiss data zone under contractual terms. 
  • The TalTech IT department cannot see conversation content; only high-level usage statistics and the names of organization-shared GPTs and projects (with creator information) are visible. 

Previous ChatGPT accounts and transferring content 

If you have previously used a personal or any other ChatGPT account, please note that it is not possible to automatically migrate its content into the TalTech ChatGPT EDU workspace. OpenAI does not currently offer migration between different workspaces or account types. 

If you wish to preserve or transfer content from your previous account, you must do so manually—for example, by copying texts, instructions, and GPT descriptions, or downloading necessary files from the old workspace and uploading them to the TalTech EDU workspace. 

We recommend transferring only the materials and settings that are genuinely needed for future work. 

License duration 

ChatGPT EDU licenses have been purchased by the university initially for one year (1 December 2025 – 30 November 2026). During this period, we will collect usage experience and evaluate how the solution supports TalTech employees and internal workflows. 

In spring 2026, we will review the AI solutions available on the market, their functionality and reliability, compare providers’ capabilities and pricing, and only then decide how to proceed and what procurement is needed. Therefore, long-term continuity cannot be fully guaranteed at this stage. 

If you use ChatGPT EDU to create important work instructions, documents, or learning materials, please always back them up in other university systems (e.g., OneDrive or SharePoint). The ChatGPT workspace is not an archive or the only storage location for important files. 

Assistants (custom GPTs), projects, and sharing 

ChatGPT EDU allows you to create two types of work tools: assistants (GPTs) and projects. Assistants are specialized tools with predefined instructions, styles, and optional supporting files.  Projects are separate workspaces where conversations, files, and related GPTs can be collected for long-term or extensive tasks. 

Assistants and projects can be shared within TalTech with individuals or groups (e.g., teams or units). Sharing grants all selected persons access to all content—files, instructions, and conversation history. Therefore, always carefully review the content before sharing. 

Public sharing is technically possible, but it makes the assistant’s description and uploaded background materials potentially visible to anyone, including outside TalTech. Before public sharing, ensure that there is no personal data, internal information, or non-public material. 

Credit-based features in ChatGPT EDU 

Certain features in ChatGPT EDU use a monthly credit pool (“advanced model credits”). These features include GPT-5.1 Thinking, GPT-5 Pro, Deep Research, Agents, image generation, voice features, and coding tools. Exact credit costs per message or task are listed in the OpenAI pricing documentation. 

At launch, GPT-5.1 Thinking and Deep Research are available to all employees at no additional cost. Other features—image generation, voice tools, Agents, and Codex—are initially limited to prevent rapid credit depletion and ensure stable usage. 

If the university’s shared credit pool is exhausted, these features cannot be used until additional credits are purchased. Units may purchase extra credits if needed (price: USD 0.05 + VAT per credit). 

If a restricted feature is essential for performing work tasks, it can be enabled for an individual upon request. In such cases, credit usage will be charged to the corresponding unit. Please notify IT at helpdesk@taltech.ee if such a need arises. 

A more detailed credit management system is under development. In the meantime, please communicate your needs early—this helps us plan and provide solutions. 

Use for personal purposes 

ChatGPT EDU is primarily intended for work-related use, but employees are also encouraged to use it for personal tasks where helpful. If AI can assist in organizing personal matters, reducing daily workload, or solving small tasks more efficiently, the positive impact often carries over into work life. 

Personal use also helps employees become more familiar with the tool, increasing confidence and effectiveness when applying AI in work contexts. 

At the same time, personal use must follow TalTech data protection, information security, and usage rules. Sensitive or confidential information must not be entered even for private purposes, nor may extensive datasets or sensitive documents be uploaded. 

Why ChatGPT EDU? 

ChatGPT EDU is a version designed for educational institutions, where TalTech data is not used for model training and which can be accessed using the university account. The same platform is already used in Estonian schools (AI-leap programme), meaning many future students will arrive with experience specifically in this tool. 

A more detailed explanation is available in the IT blog post at ai.taltech.ee → “Why TalTech chose ChatGPT EDU and why it matters”. 

ChatGPT EDU Usage Rules

General principles 

When using ChatGPT EDU in TalTech, please follow these principles: 

  • Always review AI output – adapt, correct and align it with the TalTech context. 
  • Use ChatGPT primarily for ideas, drafts and helper text, not for making final decisions. 
  • Do not delegate critical decision-making to the model – final decisions must always be made by a human. 
  • Do not use the tool in a way that could endanger the university’s reputation, security or legal compliance. 
  • Respect copyright – do not upload works or datasets you are not legally allowed to use. 
  • When using AI-generated content, ensure that its use is ethical, transparent and properly attributed where needed. 
  • The user is ultimately responsible for the correctness, quality and consequences of the content, not the AI. 
  • AI outputs must not be presented as original human work, an official position of TalTech, or unquestionable truth. 

What may and may not be entered? 

The following are examples (not an exhaustive list). If you are unsure, please contact IT Helpdesk: helpdesk@taltech.ee. 

Allowed content 

You may insert into ChatGPT EDU: 

Public information, such as: 

  • texts published on TalTech’s website; 
  • officially published guidelines; 
  • excerpts from published articles (in line with copyright). 

Ordinary internal work information that is not confidential and does not contain sensitive data, for example:

  • teaching and learning materials; 
  • meeting minutes or memos that do not contain sensitive personal data or trade secrets; 
  • drafts and documents of internal rules, process descriptions and work procedures; 
  • contract drafts and text templates, provided no confidential partner information or unnecessary personal data is disclosed; 
  • internal training programmes and learning outcome descriptions (without participant personal data); 
  • descriptions of services or processes (e.g. “how the development or procurement process works”); 
  • anonymised or aggregated survey and feedback summaries; 
  • technical explanations and architecture descriptions that do not include passwords, keys or security-critical settings; 
  • textual descriptions of budgets or plans that do not contain detailed person-specific data or sensitive financial details.

It is also acceptable to mention individual names or email addresses in explanatory text, as long as these do not form large datasets or relate to sensitive topics. 

Prohibited content and prohibited use cases

The following uses of ChatGPT EDU are not allowed: 

  • Collections of personal data, for example: tables or files containing student or staff names, contact details, personal ID codes, grades, CVs or recruitment data; 
  • Sensitive (special category) personal data, such as: health information, special needs; information on social benefits, disciplinary measures or legal proceedings; 
  • Information marked as confidential, including: documents marked for internal restricted use (e.g. AK label); other information intended only for a limited internal audience; 
  • Business secrets or confidential information of partners, including anything protected by NDAs or similar agreements; 
  • Security-critical information, such as: passwords, API keys, access credentials, certificates, technical configuration details; 
  • Works or datasets for which you do not have the right to upload or use under copyright or licence terms. 

The following uses of ChatGPT EDU are not allowed: 

  • Using AI to make decisions that may affect a person’s rights or obligations (e.g. assessment, hiring, promotion, termination, grants or scholarships, exmatriculation). 
  • Profiling or “scoring” people (e.g. suitability scores, risk-based lists). 
  • Hidden or aggressive persuasion aimed at steering decisions. 
  • Analysing people’s behaviour, emotions or attitudes for the purpose of judging or classifying them as individuals. 

Legal and data protection principles 

  • When using ChatGPT EDU, TalTech’s information security and data protection rules apply. 
  • ChatGPT EDU user content (inputs and outputs) remains the property of TalTech and is not used to train OpenAI models. 
  • OpenAI processes TalTech data as a data processor under the service agreement and stores it within the EEA/Swiss data region under the agreed conditions. 
  • TalTech’s IT department cannot see the content of conversations. At the system administration level, only the following are visible: 
    • aggregated usage statistics (activity, volume); 
    • names of GPTs and projects that have been published to the organisation, and their creators. 

Support 

If you have any questions or doubts about using ChatGPT EDU, please contact TalTech IT Helpdesk: helpdesk@taltech.ee. 

Microsoft Copilot – An AI-based assistant
Microsoft Copilot is an AI assistant that helps draft and edit texts, summarize meetings, analyze data, and speed up everyday work. It can be used both as a chat environment and as an aid within Microsoft 365 applications.

Copilot (chat)

Free with a UNI-ID account. Copilot chat is a web-based AI assistant where you can ask questions, draft texts, search for ideas, and solve problems in natural language.

  • Web: open copilot.microsoft.com, sign in with your UNI-ID account, and start chatting.
  • Edge sidebar: open Microsoft Edge, sign in with your UNI-ID account, click the Copilot icon (top right), and type your query or select Compose.
  • Mobile: Copilot can be used in the Microsoft 365 mobile app after signing in with your UNI-ID account.

Copilot for Microsoft 365 (paid)

Additional licensed functionality in Office applications. Copilot 365 works directly in Outlook, Word, Excel, PowerPoint, and Teams, helping to create, analyze, and improve documents, presentations, spreadsheets, and communication.

Once the license is linked to your UNI-ID account, Copilot becomes available in the applications (deployment may take from a few hours up to a couple of days).

  • Ordering: support portal
  • Usage: open an Office app → click the Copilot icon → describe what you want to draft/analyze.

Data protection

When used with a UNI-ID account, enterprise-level data protection applies: your queries and responses are not used for training base models, and processing remains within the Microsoft 365 service boundaries.

Access to AI models via Azure

What is Azure AI?

Microsoft Azure AI enables the use and development of various artificial intelligence solutions — from large language models (LLMs) to image, speech, and data analysis. All models and services: https://ai.azure.com/catalog

Why use Azure AI at the university?

  • faster data analysis and research;
  • access to state-of-the-art models without building your own GPU infrastructure;
  • scalability;

How to use Azure AI services

1. Opening an Azure subscription
Contact the TalTech IT Department to open the required Azure subscription. Required information: organizational unit, financial source, and responsible requester. Request: https://taltech.atlassian.net/servicedesk/customer/portal/14/group/30/create/406

2. Creating admin accounts and configuring access rights
Azure administrator cloud accounts can be requested here: https://taltech.atlassian.net/servicedesk/customer/portal/14/group/33/create/374

3. Ordering and using services
After access has been created, it is possible to order and use AI/ML services and virtual resources (computing power, data storage, etc.) provided by Azure. Pricing information is available directly in the Azure AI catalog for each model.

Recommended areas of use

Other guidelines and useful materials

How to communicate with AI effectively?

Prompting means the skill of giving clear and purposeful instructions to an AI (e.g. ChatGPT, Copilot) in order to get an accurate and expected response. This skill is useful in learning, research, project management, and everyday work.

Basic rules

  • Be specific and precise.
    Bad: “Tell me about projects.”
    Good (student): “Make a 5-point summary of the main topics from the cybersecurity lecture.”
    Good (employee): “Make a 5-point overview of TalTech’s digital transformation projects 2020–2023.”
  • Assign a role or style.
    Student: “Act as an exam lecturer and create three control questions on machine learning models.”
    Employee: “Act as a document editor and correct the text to comply with ISO 27001 requirements.”
  • Explain context and background.
    Example: “Target group: first-year students, goal: study summary, format: slide presentation.”
  • Break the task into steps.
    Example: “First describe pros and cons, then make a recommendation, finally give an example from TalTech practice.”
  • Use examples and format.
    Example: “Write a summary in 100 words, then add three bullet points at the end.”
  • Refine and clarify.
    Example: “Please clarify point 3 in the TalTech context” or “Give an example from Estonian law.”
  • Ask for reasoning or thought process.
    Example: “First explain the reasoning, then give the recommendation.”
  • Set limits and scope.
    Example: “Write a 200-word essay” or “Provide exactly 5 points.”
  • Use reusable templates.
    Example for learning: Task: Explain the concept of [X] so that the first explanation is simplified, the second detailed.
    Example for work: Background: The IT department is preparing an information security policy. Task: Create a 7-point guideline for log analysis.

Summary

A good prompt = clear instruction + context + desired format.

  • For students: helps to learn faster and more deeply (e.g. exam revision, generating examples).
  • For employees: helps to prepare documents, analyses, and overviews more efficiently.

👉 Think of AI as a colleague or supervisor to whom you must give the same clear task as you would to a person.

Other links
AI pilots

This list brings together the AI solutions currently being piloted at TalTech.

  • Speech Technology Lab services. Info: Tanel Alumäe. Esileht | teksiks.ee
  • Intelligent Search (for university staff). An internal TalTech AI application that helps users quickly find meaningful answers from official university sources such as the intranet, guidelines, legal acts, and the public website. The user enters a question, the system searches for the relevant text passages, and generates an answer using the OpenAI GPT model (incl. GPT-4 Turbo). The result includes references to the original sources, and users can provide feedback on the relevance of the answer.
  • ChatBot OpenAI testing with IT faculty students. Info: Ago Luberg. Taltech Chat
  • IT-interest guide experiments (research project). A chatbot that helps students find a suitable IT bachelor’s programme before entering TalTech. Pilot 1: ithuviarajata.pragmatiqai.com For teachers, a supporting slide deck has also been created to use in class sessions. Guidelines for teachers/group implementersInfo Birgy Lorenz.
  • AI-Mentor at hackathon (autumn 2025). Info: Birgy Lorenz.
  • Eduflex model piloting in a course. Info: Margus Püüa.
  • Text-based chatbot in Moodle course. Info: Raivo Sell.
  • Text-based chatbot in Moodle/Discord course. Info: Ago Luberg.
  • Use of LENA in lectures. Info: Tarmo Koppel.
  • Development of a math tutor chatbot, currently collecting ideas. Info: Jüri Kurvits.
  • Janika Leoste integrates generative language models and TEMI V3 robot assistants into higher education teaching to guide students in the correct use of AI tools, enable more personalized and automated assessment, and reduce teacher workload.
    Info Creativity Matters ETIS
Examples from other universities

This section highlights selected universities in Europe that have well-structured AI ecosystems or a clear strategic focus on the application of artificial intelligence in education and research. Each example includes a relevant URL for further information.

Eindhoven University of Technology (TU/e)

Technical University of Munich (TUM)

Linköping University (LiU), Sweden

University of Helsinki, Finland

Aalto University, Finland

  • AI in Aalto
    A multidisciplinary approach combining engineering, design, and business. Strong focus on innovation and applied research.
    AI in Aalto | Aalto University

University of Tartu, Estonia

TU/e IE&IS (Industrial Engineering & Innovation Sciences)

  • AI in Education with an IE&IS Focus
    Additional emphasis on applying AI in the study of education and organizational behavior.
    (General link: TU/e AI in Education at IE&IS )

AI Awareness and Usage Survey

We wish to gain a better understanding of how TalTech employees and students use artificial intelligence, what their attitudes are, and what kind of support or training they might need. The information collected will help shape the university’s future AI solutions and support measures.

Thank you for participating!

Link to the employee questionnaire

Link tudengite küsimustikule

AI koolitused
For lecturers
Use of AI in teaching
AI koolitused
For students
Use of AI in learning
AI koolitused
For researchers
Use of AI in research
AI koolitused
For staff
Use of AI in the organization