Applied Artificial Intelligence Research in Practice

Description

This course equips students with the advanced quantitative and qualitative research skills required to investigate and address how applied Artificial Intelligence (AI) can be applied to solve complex challenges and improve efficiency within specific domains in Aotearoa New Zealand and beyond. Students will learn to formulate purposeful research questions, design robust methodologies, and critically engage with academic and industry literature to support evidence-based design, execution, and evaluation of AI utilisation for addressing real world problems. Emphasis is placed on both qualitative and quantitative research approaches with attention to ethical research practice. Data sovereignty and cultural considerations of using Indigenous data in AI systems are considered, including integration of Maori and Pacific worldviews into research design, data collection, and analysis. Risk of algorithmic bias and how it can disproportionately affect Indigenous communities is considered. Students will explore a range of paradigms and develop culturally responsive methodologies that honour diverse knowledge systems, including matauranga Maori. Students will apply analytical tools to interpret research data, communicate insights through well-structured reports, and present their findings effectively to varied audiences. By the end of the course, students can conduct research in Applied AI that demonstrates methodological rigour, critical thinking, and cultural competency.