Description
Artificial intelligence offers significant opportunities across ecology and environmental management, but getting started responsibly requires more than choosing a tool or learning how to write prompts. Practitioners and organisations first need appropriate processes, information management, governance, quality controls and professional oversight.
This practical training course is primarily aimed at those who are responsible for, or contribute to, the introduction of AI and digital tools within ecological practice. It will also benefit individual practitioners who want to understand how AI may affect their work and professional responsibilities.
The course will cover personal and organisational readiness, workflow review, data and confidentiality requirements, AI policies, approved tools, human oversight, professional accountability, quality assurance and maintaining staff competence. Delegates will consider suitable use cases, assess risks and develop practical first steps for trialling AI responsibly.
Delivery will combine short presentations, case studies, facilitated discussion and practical exercises. The course will help delegates realise appropriate benefits from AI while protecting evidence quality, professional judgement, client trust and accountability.
Who Should Attend?
The course is primarily aimed at ecological and environmental professionals who are responsible for, or contribute to, the introduction and oversight of AI and digital tools. This includes directors, owners, partners, principals, senior consultants, project managers, sole practitioners, and technical, quality, operations, data, digital and innovation leads.
It will also be relevant to ecologists and environmental professionals at any career stage who want to understand how AI may affect their work, the professional responsibilities associated with its use, and the practical steps needed to begin using it responsibly.
