Archive · 19 Sep 2026
Susmit Sen Explains Trustworthy AI Governance in Critical Minerals
Susmit Sen works with data and artificial intelligence in the critical-minerals industry.
Critical minerals are important for batteries, renewable energy and other technologies.
He says AI can help people use large amounts of geological, environmental and business information.
However, AI is only trustworthy when the data and rules around it are reliable.
Data Governance checks whether information is accurate, understood and used properly.
AI Governance also examines how systems make decisions and what happens because of them.
Sen is especially concerned when AI systems begin taking actions instead of only making recommendations.
He says people must remain accountable, and AI needs clear limits and supervision.
He believes good governance can help organizations use AI more confidently and responsibly.
Susmit Sen says trustworthy AI depends on reliable data, sound processes and effective controls.
He argues Data Governance and AI Governance must be connected because AI inherits the strengths and weaknesses of its data.
Mining and critical-minerals companies face governance challenges involving operational, geological, environmental and supply-chain information across jurisdictions.
Sen says increasingly autonomous or agentic AI requires clear authorization, accountability, traceability, access controls and human intervention.
He believes governance should become an embedded organizational capability that enables responsible innovation rather than simply adding bureaucracy.
- Who
- Susmit Sen, a data and AI governance leader working in the critical-minerals industry.
- What
- He discussed trustworthy AI, Data Governance, AI Governance and the challenges of increasingly autonomous systems.
- When
- The interview refers to Sen’s recent FIP designation and more than 20 years of professional experience; no publication date is specified.
- Where
- The discussion concerns a globally significant critical-minerals organization, with examples from Albertsons and ICBC.
- Why
- To explain how organizations can use AI responsibly while managing data quality, risk, accountability and business value.
- Interview subject
- Susmit Sen
- Main focus
- Data Governance, AI Governance and trustworthy AI
- Industry context
- Critical minerals and mining
- AI applications
- Geological, operational, environmental and supply-chain data
- Key governance concern
- Ensuring accountability, oversight and traceability as AI becomes more autonomous
- Sen’s view of governance
- A capability that helps organizations innovate responsibly, rather than merely a set of policies
- Previous organizational experience
- Enterprise Data Governance at Albertsons and technology and automation initiatives at ICBC