Neuralys
Pick-and-choose AI training

Designing your internal AI policy

Three modules on permitted uses, responsibilities, professional confidentiality and data flows. Training does not replace legal advice.

Course program · 3 modules

POL_01

Balancing risks and opportunities

Objective

Define permitted uses, responsibilities, and proportionate review rules.

Topics covered

  • Permitted uses
  • Responsibilities
  • Review rules

Key learning outcomes

  • Draft a use rule proportionate to risk.
  • Assign review responsibility in the policy.

POL_02

Preserving professional confidentiality

Objective

Identify professional confidentiality obligations and review tool and data boundaries; the course does not replace legal advice.

Topics covered

  • Confidentiality obligations
  • Tool boundaries
  • Data-sharing boundaries

Key learning outcomes

  • Identify information subject to professional confidentiality.
  • Formulate questions to resolve before using a tool.

POL_03

Data security and information leakage

Objective

Address data flows, access, retention, and incident escalation in policy.

Topics covered

  • Data flows
  • Access and retention
  • Incident escalation

Key learning outcomes

  • Map a data flow for the policy.
  • Specify access and retention rules.
  • Describe an incident escalation path.
Discuss this course →