Distribution across 10 profiles.
Middle half of Ethics Compliance Officer (Technology Focus)s score between 25% and 28%.
0%
50%
100%
p10 · 23%
29% · p90
Task breakdown by work type
On-screen work61%
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
In-person + screen13%
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer + action13%
Computer input, real-world output — needs someone to act on it, not just software.
Fully in-person13%
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Ethics Compliance Officer (Technology Focus), ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
TaskTimeTypeExposure
Draft and update ethics policies, guidelines, and frameworks for responsible AI development and deployment across the organization
deep expertisesocial core
23%DD
14%
Review and audit AI/ML model outputs and training data for bias, fairness issues, and compliance with regulations (GDPR, local AI laws); document findings
21%DD
55%
Investigate reported ethics violations, algorithmic harms, or compliance concerns; interview stakeholders and prepare incident reports
deep expertisesocial core
19%AD
8%
Conduct training sessions and workshops for engineering, product, and leadership teams on ethical AI principles, risk identification, and compliance requirements
deep expertisesocial core
11%DA
5%
Assess new technology projects and systems for potential ethical risks before deployment; prepare risk memos for leadership approval
deep expertisesocial element
9%DD
27%
Analyze metrics and audit logs from live AI systems; identify edge cases or demographic disparities that require investigation or remediation
deep expertise
9%DD
35%
Maintain relationships with external stakeholders (regulators, advocacy groups, industry peers) and track emerging legal/regulatory developments in AI ethics
deep expertisesocial element
6%AA
0%
TaskTimeTypeExposure
Conduct training sessions and workshops for engineering, product, and leadership teams on ethical AI principles, risk identification, and compliance requirements
some context neededsocial core
24%DA
7%
Draft and update ethics policies, guidelines, and frameworks for responsible AI development and deployment across the organization
deep expertisesocial core
17%DD
20%
Maintain relationships with external stakeholders (regulators, advocacy groups, industry peers) and track emerging legal/regulatory developments in AI ethics
deep expertisesocial core
16%AA
1%
Assess new technology projects and systems for potential ethical risks before deployment; prepare risk memos for leadership approval
15%DD
46%
Review and audit AI/ML model outputs and training data for bias, fairness issues, and compliance with regulations (GDPR, local AI laws); document findings
12%DD
53%
Analyze metrics and audit logs from live AI systems; identify edge cases or demographic disparities that require investigation or remediation
10%DD
59%
Investigate reported ethics violations, algorithmic harms, or compliance concerns; interview stakeholders and prepare incident reports
deep expertisesocial core
2%AD
10%
TaskTimeTypeExposure
Review and audit AI/ML model outputs and training data for bias, fairness issues, and compliance with regulations (GDPR, local AI laws); document findings
33%DD
52%
Investigate reported ethics violations, algorithmic harms, or compliance concerns; interview stakeholders and prepare incident reports
deep expertisesocial core
15%AD
10%
Maintain relationships with external stakeholders (regulators, advocacy groups, industry peers) and track emerging legal/regulatory developments in AI ethics
some context neededsocial core
14%AA
0%
Assess new technology projects and systems for potential ethical risks before deployment; prepare risk memos for leadership approval
deep expertisesocial element
11%DD
25%
Draft and update ethics policies, guidelines, and frameworks for responsible AI development and deployment across the organization
deep expertisesocial core
9%DD
19%
Analyze metrics and audit logs from live AI systems; identify edge cases or demographic disparities that require investigation or remediation
7%DD
63%
Conduct training sessions and workshops for engineering, product, and leadership teams on ethical AI principles, risk identification, and compliance requirements
7%DA
17%
Save & share
AI tools for this role
Tools relevant to the most automatable tasks in this profession.
