Lucerone

Assessment

The Lucerone Human Impact Assessment

All questions are measured on a scale of: 1 – Strongly Disagree 2 – Disagree 3 – Neutral/unsure 4 – Agree 5 – Strongly Agree

Dimension 1: Cognitive Impact

Measures: Is AI supporting or straining human thinking?

1. Employees understand when AI should support thinking versus replace tasks.
2. AI tools have reduced unnecessary cognitive load rather than creating additional complexity.
3. Employees have sufficient time and capacity to review AI-generated outputs.
4. People understand the limitations of the AI tools they use.
5. AI implementation has considered impacts on attention, focus and task switching.
6. Employees are trained to critically evaluate AI outputs.
7. AI use has improved clarity rather than increased information overload.
8. Work processes have been redesigned around human capability, not just AI capability.
9. Employees have confidence in knowing when not to use AI.
10. The organisation regularly assesses how AI affects workload and mental demands.

Dimension 2: Decision Impact

Measures: Is AI improving or weakening human judgement?

11. Clear guidance exists on which decisions require human judgement.
12. Employees understand their accountability when using AI-supported recommendations.
13. People feel confident challenging AI-generated information.
14. AI has improved decision quality rather than simply decision speed.
15. Leaders actively discuss the risks of over-relying on AI.
16. The organisation monitors potential automation bias.
17. Human expertise remains visible and valued in decision processes.
18. Employees understand how AI-generated recommendations should be interpreted.
19. Decision-making processes clearly identify where AI contributes.
20. The organisation protects opportunities for people to develop judgement and expertise.

Dimension 3: Psychosocial Impact

Measures: Is AI creating psychologically healthy work?

21. Employees were consulted about how AI changes their work.
22. AI implementation has considered potential stress and uncertainty.
23. Employees feel safe raising concerns about AI use.
24. AI has not created unrealistic expectations around productivity.
25. AI has increased employee control and autonomy over work.
26. Leaders actively address concerns about role changes caused by AI.
27. Employees understand how AI may affect their responsibilities.
28. AI tools support wellbeing rather than increasing pressure.
29. The organisation monitors AI-related psychosocial hazards.
30. AI adoption aligns with psychologically safe work design principles.

Dimension 4: Inclusion Impact

Measures: Does AI support different human needs and experiences?

31. AI implementation considers different cognitive styles and working preferences.
32. People with diverse experiences, perspectives and needs are included when designing, selecting and implementing AI systems.
33. AI tools improve accessibility and participation.
34. The organisation considers whether AI may unintentionally disadvantage some groups.
35. AI-supported decisions are reviewed for potential bias.
36. Employees receive AI support appropriate to their capability and confidence level.
37. AI training is accessible to employees with different learning needs.
38. The organisation considers cultural and social impacts of AI adoption.
39. AI enhances rather than reduces individual strengths.
40. AI implementation reflects principles of inclusive work design.

Dimension 5: Governance Impact

Measures: Are humans still accountable and in control?

41. Roles and responsibilities for AI use are clearly defined.
42. There is clear accountability for decisions involving AI.
43. Leaders understand the human risks associated with AI adoption.
44. AI risks are considered beyond technology, privacy and cybersecurity.
45. Governance processes include human behaviour and workforce impacts.
46. The organisation regularly reviews unintended consequences of AI use.
47. AI implementation aligns with organisational values.
48. Employees understand escalation pathways when AI outputs seem incorrect.
49. AI performance is assessed alongside human and organisational outcomes.
50. The organisation has a clear approach to maintaining human oversight.

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