Thesis Work for Explainable AI – Take part in designing the future of human-system interactions

Key Skills

Algorithms, Apache Kafka, AWS, Azure, Docker, Machine learning techniques, R Programming, UI design, UX design

Job Description

Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.

At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.

In industrial settings, AI holds the potential for significant improvements such as energy-efficient operations, increasing throughput, and enabling more sustainable operations. According to a Gartner research study, only 15% of AI solutions deployed by 2022 will be successful. Despite a model’s statistical performance, process experts often don’t trust a ML model whose inner reasoning is not clear to them. If deployed, the end-users further struggle to comprehend the outputs and actions of the ML models.

To realize the possible benefits of AI in industrial applications, domain experts and end-users need to be given insights of the internal reasoning of ML (Machine Learning)-models. To close the loop, end-users also need an ability to provide their own input into the model, to trigger re-training so that the model can be continuously improved with the help of end users. This is crucial to assure that the model output continues to improve in a direction that is useful for operators in their daily work of handling the process. The question becomes, how do we involve the end user more in improving the systems that they work with? How do we assure them that their experience and thus their input is valuable?

Details:

• Period: Spring 2023, commonly between February - June
• Number of credits: 30 ECTS/högskolepoäng (hp)
• Number of students: 1-2
• Location: Västerås, Sweden but remote work is possible

Your responsibilities

• Go through a typical design cycle of defining requirements, producing a concept and evaluating it
• Explore and design various ways of facilitating and motivating human-computer interactions in the context of providing feedback to AI
• Related to this, we would like you to explore the field of research in relation to motivating user feedback to provide some overview of the landscape (e.g. what motivation theory might be fitting, gamification etc.)
• We would also like you to, using state of the art research, identify a way of evaluating motivation to provide feedback to a system

Your background

• Any of the below:
• Human Factors
• Human-Computer Interaction
• User Experience Design
• Interaction Design
• Cognitive Science
• Industrial Design

More about us

Recruiting Manager Dawid Ziobro, dawid.ziobro@se.abb.com, will answer your questions. Positions are filled continuously. Apply with your CV, academic transcripts and a cover letter in English.

We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website www.abb.com.

Work model: hybrid #LI-hybrid