Pre-Conference Workshop 

Tuesday, November 24, 2026 

As AI becomes embedded across mining operations, leaders are increasingly faced with decisions that extend beyond technology. This interactive workshop explores how leaders can make responsible decisions about AI adoption while balancing productivity, safety, workforce impacts and organisational trust. 

Rather than focusing on AI regulation or technical ethics, participants will work through practical frameworks and real-world scenarios to strengthen ethical decision-making, navigate uncertainty and lead organisational conversations around AI. Through case studies, facilitated discussions and practical exercises, attendees will leave with tools they can immediately apply to guide responsible AI adoption within their organisations. 

Workshop Leader

Full Name
Dr Jacqueline Boaks
Job Title
Curriculum Lead (Curtin Centre for Applied Ethics) and Philosopher-in-Residence (WA Data Science Innovation Hub)
Company
Curtin University
Speaker Bio
Dr Jacqueline Boaks is the Curriculum Lead with the Curtin Centre for Applied Ethics and Philosopher-in-Residence at the WA Data Science Innovation Hub. She is Vice President of the Australian Association of Professional and Applied Ethics, editor of Research into Ethical Issues in Organizations (Emerald), founder of the WA Ethics Outside Philosophy group, co-editor of Leadership and Ethics (Bloomsbury) and a member of the editorial board of the journal Philosophy of Management (Springer). Her most recent research addresses and the question of dirty hands in leadership, and the impact of Artificial Intelligence in CSR decision making in organisations. She is regularly featured in media on the ethics of artificial intelligence, leadership, and business ethics.
Dr Jacqueline Boaks

Participants will explore: 

  • Leadership decision-making in an AI-enabled organisation 
  • Building trust and transparency throughout AI adoption 
  • Practical frameworks for navigating ethical dilemmas 
  • Leading organisational conversations around AI and change 
  • Balancing innovation with responsibility and long-term value 

Agenda

08:30  Registration & Morning Coffee 

09:00   Part 1 - Theory  

10:30  Coffee Break 

11:00  Part 2 – Practical and Interactive  

12:00  End of Workshop