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6 results for Article, AI
Research & Art
A banner that says "AI and Research Work"

Best practices for AI use in research work

A practical collection of best practices for working with AI tools in research

Services
A! on campus

Guidelines for using generative AI at work - for service staff

Artificial Intelligence (AI) tools that use generative AI, such as Aalto AI Assistant, support and expedite the execution of many work tasks.

Services

Artificial Intelligence (AI): the AI Act and AI literacy at Aalto University

The EU Artificial Intelligence Act (鈥淎I Act鈥) has come into force on August 1st, 2024. How does it affect researchers, teachers, other employees, and students at Aalto University?

Teacher鈥檚 Handbook
Figure about conducing teaching in multiple languages, students studying and teacher teaching

Tools and tips for multilingual teaching

Aalto University aims to deliver a multilingual and inclusive educational experience for students as well as for all who take care of teaching duties. Teaching at Aalto is organised in Finnish, Swedish and English. This page gives you ideas for implementing teaching multilingually, information about language-aware pedagogy, and guidelines for using the available digital services that support multilingual teaching.

Services
Illustration of a person with white outlines, standing with crossed arms, featuring intersecting coloured lines behind.

Responsible use of Generative Artificial Intelligence in the research process

These guidelines focus on one particular type of AI used in the research process: generative AI. The goal of these guidelines, originally provided by the European Research Area forum, is to prevent misuse and to ensure that generative AI plays a positive role as part of research practices.
The key principles for the responsible use of generative AI in research are:
鈥 Reliability in ensuring the quality of research, reflected in the design, methodology, analysis and use of resources. This includes aspects related to verifying and reproducing the information produced by the AI for research. It also involves being aware of possible equality and non-discrimination issues in relation to bias and inaccuracies.
鈥 Honesty in developing, carrying out, reviewing, reporting and communicating on research transparently, fairly, thoroughly and impartially. This principle includes disclosing that generative AI has been used.
鈥 Respect for colleagues, research participants, research subjects, society, ecosystems, cultural heritage and the environment. Responsible use of generative AI should consider the limitations of the technology, its environmental impact16 and its societal effects (bias, diversity, non-discrimination, fairness and prevention of harm). This includes the proper management of information, respect for privacy, confidentiality and intellectual property rights, and proper citation.
鈥 Accountability for the research from idea to publication, for its management and organisation, for training, supervision and mentoring, and for its wider societal impacts. This includes responsibility for all output that a researcher produces, underpinned by the notion of human agency and oversight.

Collaboration
Graphic Illustration of 5G network with symbols. Graphic design: Safa Hovinen

Figuring out our 5G future

Researchers from Aalto University are doing some exciting experiments with 5G in several areas key to the technology鈥檚 future: network security, drones, smart energy grids, and autonomous driving.