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AI Ethics and Auditing: Principles and Practices

Overview

Subject Area

Information and Communication Studies

Credits 5
NFQ 9
EFQ  
Start Date 9th September 2024
Time Asynchronous
Duration 12 weeks
Mode of Delivery Online
Lead Academic

Dr Susan Leavy

Fee 875
Application Deadline 1st September

In the era of rapid technological advancement, Artificial Intelligence has emerged as a transformative force with the potential to revolutionise various aspects of human life. However, this technological evolution raises many ethical questions requiring immediate attention and thoughtful consideration.

This unique micro-credential integrates social and ethical perspectives to explore foundational issues in Artificial Intelligence (AI). It provides practical skills in analysing ethical frameworks, bias, privacy, and AI safety. It also examines AI’s influence on society, including the future of work and AI’s effect on the environment. Learners will also gain practical expertise in defining the scope of audit efforts, including determining the objective for assessment and specifying which aspects of the AI system will be scrutinised. It adopts multidisciplinary perspectives from various disciplines, including philosophy, law, computing, information and communication studies, political economy, and environmental studies, to provide essential skills in the ethical dimensions inherent in a rapidly evolving AI landscape.

Key Features

The module is designed for individuals from diverse backgrounds keen to engage with ethical issues in an AI landscape. Whether you are a master’s or research student, technology professional, policymaker, educator, or simply someone interested in understanding the ethical implications of AI, this module offers insights and skills you will need to thrive in your career.

On completion of this micro-credential, you will: 

  • Demonstrate a unique understanding of core conceptual issues in ethical AI.
  • Describe the state of the art in addressing issues of bias from theoretical, technical and regulatory perspectives.
  • Develop rigorous analysis of the ethical ramifications of an AI system on society, including its far-reaching impact and implications for various spheres.
  • Perform a formal ethical audit of an AI system.

Divided into three components, the module will begin by focusing on ethical considerations in AI development, addressing privacy, bias, and discrimination issues, and exploring solutions such as regional regulations and technical approaches. The second component delves into AI’s societal impact, discussing its effects on democracy, education, economy, and the environment, while also addressing concerns about job displacement and economic inequalities. The final section emphasises auditing AI systems for transparency, accountability, and ethical use, providing practical skills in defining audit scopes, assessing data quality and biases, evaluating model performance, and understanding regulatory frameworks.

  • You will develop a strong awareness of ethical issues in AI development and deployment, enabling you to navigate complex ethical dilemmas. This will also include critical thinking skills, empowering you to evaluate and address ethical challenges in your personal and professional lives.
  • Through hands-on exercises and practice, students will acquire skills in analysing AI systems for ethical implications, preparing them for AI ethics consulting, compliance, management, auditing, or policy development jobs.
  • Exposure to diverse disciplines such as philosophy, law, computing, and environmental studies will broaden students’ perspectives, enriching their understanding of AI ethics and its societal implications.

  • Engagements with multimedia presentations covering essential AI ethics and auditing topics, incorporating videos, audio clips, and interactive elements to enhance learning.
  • Asynchronous online discussion forums to facilitate peer-to-peer interaction to allow critical dialogue.
  • Modularised content to allow students to progress through the course at their own pace, accessing materials and completing assignments according to their schedules.
  • Scheduled virtual office hours with instructors to allow students to seek clarification, ask questions, and receive personalised guidance.

Entry requirements are a primary degree with a minimum of 2.2 classification, second class honours, grade two or international equivalent.

Applications may also be considered from those with significant, relevant, practical experience on a case-by-case basis.

Applicants whose first language is not English must also demonstrate English language proficiency as per UCD’s minimum requirements.

There will be three graded assessments:

  • The first two will be pre-recorded debates around AI ethical lenses. 
  • The final written assignment is where learners choose a real-world project in their area of interest, apply the core project management tools as if they were managing that project, and analyse the management style, challenges, and outcomes to identify lessons that could be applied in future projects.

Individual feedback will be provided for graded assignments. Group feedback will be provided for other non-graded assignments.

This micro-credential is also a module at the UCD’s Centre for Digital Policy’s master’s studies.