Programme overview
Introduction:
Data ethics and accountability for executives, covering ownership, trust and responsible use, is a 1-week course for senior executives, data and analytics leaders and ethics, risk and compliance heads, ending with an Executive Data Ethics and Accountability Framework. Organisations now use customer, citizen and employee data in analytics and AI faster than their leaders agree who answers for each use, which tests are applied and when a use should stop. Nominees already approve or challenge data and AI initiatives, and teaching is by case study on real data use dilemmas. CoreConcept Training Center delivers this data ethics course.
Course Objectives:
- Define executive accountability for data uses, naming who approves, who answers and who can stop a use
- Apply data ethics principles of transparency, fairness, purpose limitation and proportionality to proposed uses
- Judge analytics and AI proposals for bias, explainability and impact on customers, citizens and employees
- Set privacy, consent and breach accountability expectations for units and third parties
- Design an ethics review board with escalation routes and executive oversight reporting
- Produce an Executive Data Ethics and Accountability Framework ready for executive approval
Target Audience:
- Senior executives who approve data, analytics and AI initiatives in their units
- Data and analytics leaders responsible for how the organisation uses data
- Ethics, risk and compliance heads responsible for oversight of data and AI use
- Board-facing leaders responsible for reporting trust and conduct risks
- Customer, service and HR executives whose decisions rely on personal data
Course Outline:
Day 1: Data Ethics as an Executive Accountability
- Trust and Social Licence in Data-Driven Organisations
- Data Ethics Failure Cases Across Public and Private Sectors
- Accountable Executive Model for Data and AI Uses
- Stakeholder Expectations of Customers, Citizens and Employees
- Executive Data Ethics Baseline Self-Assessment
Day 2: Ethics Principles and Oversight Frameworks
- OECD Good Practice Principles for Data Ethics Applied
- Transparency and Explainability Expectations for Executives
- Fairness and Non-Discrimination Tests for Analytics
- Purpose Limitation and Proportionality Decision Tests
- Ethics Review Board Charter and Membership Design
Day 3: Executive Decisions on Responsible Data Use
- Data Use Approval Gate and Ethical Impact Questions
- Consent, Notice and Reuse Judgements for Personal Data
- Bias Review of Scoring and Prediction Models
- Third-Party and Partner Data Use Accountability Clauses
- Executive Oversight Report on Data Ethics Indicators
Day 4: Dilemmas, Breaches and Trust Recovery
- Contested Use Dilemmas Between Value and Harm
- Data Breach Accountability and Executive Response Duties
- Algorithmic Harm Complaints and Redress Routes
- Trust Recovery Communication After an Ethics Failure
- Ethics Washing and Box-Ticking Warning Signs
Day 5: Case Study Work and the Accountability Framework
- Case Study on Customer Profiling for Targeted Offers
- Case Study on Workforce Analytics and Employee Monitoring
- Ethics Review Board Simulation on a Contested AI Use
- Executive Accountability Matrix and Escalation Routes
- Executive Data Ethics and Accountability Framework Completion
Skills You Will Gain:
- Ethical Impact Judgement
- Accountability Design
- Bias and Fairness Challenge
- Ethics Board Leadership
- Trust Risk Oversight
- Breach Accountability Management
- Responsible Use Approval
- Ethics Oversight Reporting
Why Attend This Course:
- Deliver an Executive Data Ethics and Accountability Framework to the chief executive and the ethics or risk committee
- Decide which proposed data and AI uses to approve, change or stop using agreed ethics tests
- Avoid loss of customer and public trust, complaints and penalties caused by unaccountable or unfair data use
- Brief fellow executives and unit heads on the approval gate, ethics questions and escalation routes
Conclusion:
Back at work, the participant presents the Executive Data Ethics and Accountability Framework to the chief executive and the ethics or risk committee. Executives use it to name the accountable owner for each significant data use, send contested proposals to the ethics review board and agree which indicators reach the board. After the first quarter, the organisation should check how many uses passed through the approval gate, which were changed or stopped and whether complaints and trust indicators moved.
Frequently Asked Questions (FAQ):
What should participants prepare before a data ethics and accountability course for executives?
Participants should bring examples of current or planned data and AI uses in their organisation, any ethics, privacy or AI policies in force and a recent complaint or dilemma. Executive responsibility for approving or overseeing such uses is expected.
How does a data ethics and accountability course for executives differ from a data governance practitioner course?
This course is about executive judgement: who answers for data uses, which ethics tests apply and when to stop a use. Practitioner data governance courses cover data management practice such as policies, catalogues, quality controls and stewardship procedures.
Why do executives need to own data ethics and accountability?
Because decisions to use, share or stop using data affect customers, citizens and employees and carry legal and reputational consequences. Only executives can balance value against harm and make someone answerable for the outcome.
What do participants take back from the data ethics and accountability course for executives?
Participants take back an Executive Data Ethics and Accountability Framework with an accountability matrix, ethics principles and tests, an approval gate, an ethics review board charter, escalation routes and oversight indicators ready for executive approval.