Working with AI: AI-Augmented Performance Reviews Training Course
$27.50 inc. GST
Working with AI: AI-Augmented Performance Reviews covers how to use AI well when preparing and running a performance review — what’s reasonable to let it help draft, summarise, or structure, and what judgement has to stay with the manager regardless of how good the draft looks. It’s part of the five-part Working with AI series, building on Critical Thinking in the AI Era and AI Governance for Managers.
It covers how to audit AI-drafted content for bias before it goes anywhere near a formal review, what to tell an employee about AI’s role in their own review, and gives a brief, practical orientation to the regulatory backdrop in Australia, New Zealand, and internationally. Designed for managers who prepare or deliver performance reviews, it finishes with an instant digital certificate on completion.
This course will take approximately 36 minutes to complete.
Why Is AI-Augmented Performance Reviews Training Important?
AI is already saving managers real time in performance management. But employees remain wary of it, and most want a human’s judgement to lead the process rather than a system.
Getting this wrong risks an unfair or poorly evidenced review shaping someone’s pay, promotion, or standing — and increasingly risks falling short of what regulators expect organisations to know and disclose about how they use AI in decisions like these. AI use in decisions affecting someone’s pay or employment is increasingly expected to be visible and accountable across Australia, New Zealand, and international regulatory settings.
This topic gives managers a working standard for where AI can help and where judgement has to stay human, so a time-saving draft never quietly becomes an unfair or unaccountable decision.
Who Should Complete This Course
- Managers who prepare or deliver performance reviews for their team
- Managers currently using, or considering using, AI to help draft or structure reviews
- HR business partners supporting managers through a review cycle involving AI-assisted content
- Anyone who has completed Critical Thinking in the AI Era and AI Governance for Managers and is ready to apply that judgement to performance management specifically
Topics Covered
- Where AI fits and what stays yours
- Auditing AI-drafted content for bias
- Transparency, disclosure, and regulations
Course Experience
- Fully online and accessible anytime
- Interactive and scenario-based learning
- Self-paced completion (pause and resume anytime)
- No formal assessment for this topic
- Instant digital certificate on completion
- Accessible design (WCAG 2.2 AA compliant; suitable for all literacy levels)
Assessment
- No formal assessment for this topic
Related Courses
- Working with AI: Critical Thinking in the AI Era
- Working with AI: AI Governance for Managers
- Working with AI: Managing an AI-Enabled Team
- Working with AI Pathway
- Managing Staff Underperformance Training Course (AUS Version)
- Equal Employment Opportunity for Managers Training Course (AUS Version)
- Duty of Care for Managers Training Course (AUS Version)
- Team Culture: Assessing and Managing Training Course
Learning Outcomes
By completing this course, learners will be able to:
- Identify what’s reasonable to delegate to AI when preparing a performance review, and what isn’t
- Audit AI-drafted review content for bias before it’s used
- Explain what to disclose to an employee about AI’s role in their own review
- Describe the current regulatory expectations in Australia, New Zealand, and internationally around AI-assisted employment decisions
- Apply human judgement as the deciding factor in a performance review, regardless of how complete an AI draft looks
Organisational Benefits
- Reduce the risk of unfair or poorly evidenced reviews shaped by unchecked AI drafting
- Improve accountability and disclosure around AI’s role in pay, promotion, and performance decisions
- Build employee trust in the review process by keeping human judgement visibly in the lead
- Improve readiness against increasing regulatory expectations on AI use in employment decisions
- Demonstrate a considered, organisation-wide approach to AI-augmented people decisions
| Platforms | Desktop, laptop, tablet or mobile (widescreen) |
| Browsers | Chrome, Edge, Firefox and Safari are supported (typically versions from 2019 onwards). IE11 is not supported |
| Hosting | Enrol in Tribal Habits portal |
| Accessible | Yes, meets WCAG 2.2 guidelines at a Level AA standard – More info on WCAG 2.2 here |
Description
Why Is AI-Augmented Performance Reviews Training Important?
AI is already saving managers real time in performance management. But employees remain wary of it, and most want a human’s judgement to lead the process rather than a system.
Getting this wrong risks an unfair or poorly evidenced review shaping someone’s pay, promotion, or standing — and increasingly risks falling short of what regulators expect organisations to know and disclose about how they use AI in decisions like these. AI use in decisions affecting someone’s pay or employment is increasingly expected to be visible and accountable across Australia, New Zealand, and international regulatory settings.
This topic gives managers a working standard for where AI can help and where judgement has to stay human, so a time-saving draft never quietly becomes an unfair or unaccountable decision.
Who Should Complete This Course
- Managers who prepare or deliver performance reviews for their team
- Managers currently using, or considering using, AI to help draft or structure reviews
- HR business partners supporting managers through a review cycle involving AI-assisted content
- Anyone who has completed Critical Thinking in the AI Era and AI Governance for Managers and is ready to apply that judgement to performance management specifically
Topics Covered
Topics Covered
- Where AI fits and what stays yours
- Auditing AI-drafted content for bias
- Transparency, disclosure, and regulations
Experience
Course Experience
- Fully online and accessible anytime
- Interactive and scenario-based learning
- Self-paced completion (pause and resume anytime)
- No formal assessment for this topic
- Instant digital certificate on completion
- Accessible design (WCAG 2.2 AA compliant; suitable for all literacy levels)
Assessment
- No formal assessment for this topic
Related Courses
- Working with AI: Critical Thinking in the AI Era
- Working with AI: AI Governance for Managers
- Working with AI: Managing an AI-Enabled Team
- Working with AI Pathway
- Managing Staff Underperformance Training Course (AUS Version)
- Equal Employment Opportunity for Managers Training Course (AUS Version)
- Duty of Care for Managers Training Course (AUS Version)
- Team Culture: Assessing and Managing Training Course
Outcomes
Learning Outcomes
By completing this course, learners will be able to:
- Identify what’s reasonable to delegate to AI when preparing a performance review, and what isn’t
- Audit AI-drafted review content for bias before it’s used
- Explain what to disclose to an employee about AI’s role in their own review
- Describe the current regulatory expectations in Australia, New Zealand, and internationally around AI-assisted employment decisions
- Apply human judgement as the deciding factor in a performance review, regardless of how complete an AI draft looks
Organisational Benefits
- Reduce the risk of unfair or poorly evidenced reviews shaped by unchecked AI drafting
- Improve accountability and disclosure around AI’s role in pay, promotion, and performance decisions
- Build employee trust in the review process by keeping human judgement visibly in the lead
- Improve readiness against increasing regulatory expectations on AI use in employment decisions
- Demonstrate a considered, organisation-wide approach to AI-augmented people decisions
Accessibility
| Platforms | Desktop, laptop, tablet or mobile (widescreen) |
| Browsers | Chrome, Edge, Firefox and Safari are supported (typically versions from 2019 onwards). IE11 is not supported |
| Hosting | Enrol in Tribal Habits portal |
| Accessible | Yes, meets WCAG 2.2 guidelines at a Level AA standard – More info on WCAG 2.2 here |