Governing the Algorithmic Age: Public Ethics and AI

Introduction

The integration of artificial intelligence into public services and governance presents an unprecedented ethical frontier. From automated decision-making in policy to data-driven public services, AI's transformative power demands a new approach to public ethics. This comprehensive training course is designed to equip public sector leaders, policymakers, and civil servants with the critical tools and ethical frameworks needed to navigate the complexities of AI, ensuring its deployment is responsible, transparent, and aligned with democratic values.

This program provides a deep dive into the challenges of algorithmic bias, data privacy, and accountability in an AI-driven world. You will learn how to design governance structures that foster public trust, create policy that ensures fairness, and develop a workforce prepared to ethically manage these powerful new technologies. The course will empower you to lead the transition to an AI-enabled government that serves the public good with integrity and foresight.

Duration

10 Days

Target Audience

This course is designed for public sector professionals and leaders, including civil servants, government officials, policymakers, data scientists, and legal experts working at the local, regional, and national levels. It is also relevant for members of legislative bodies, regulatory agencies, and non-governmental organizations focused on technology policy and public ethics.

Objectives

Analyze the core ethical principles applicable to AI in the public sector.

Identify and mitigate risks of algorithmic bias and discrimination.

Formulate public policies for the responsible procurement and use of AI systems.

Develop a framework for ensuring transparency and explainability in AI decision-making.

Address legal and regulatory challenges related to data privacy and surveillance.

Design mechanisms for public engagement and democratic oversight of AI.

Understand the implications of AI on public trust and citizen-state relationships.

Assess the impact of AI on public sector employment and the future of work.

Create a governance plan for ethical AI implementation within a government department.

Conduct an ethical impact assessment for a new AI-powered public service.

Course Modules

Module 1: Foundations of Public Sector AI Ethics

Defining AI and its applications in public service.

Core ethical principles: fairness, accountability, and transparency.

The historical context of technology and public ethics.

Understanding the societal impact of automation and data-driven policy.

Case studies of ethical dilemmas in government AI.

Module 2: Algorithmic Bias and Discrimination

Sources of bias in AI models and data.

Identifying and measuring different forms of algorithmic bias.

Mitigation strategies to reduce bias in design and deployment.

The legal and social consequences of biased systems.

The importance of diverse teams in AI development.

Module 3: Data Privacy and Protection

The role of data in training and deploying AI models.

Legal frameworks for data protection (e.g., GDPR, CCPA).

The ethics of public data collection, use, and sharing.

Balancing public good with individual privacy rights.

Anonymization, de-identification, and data security.

Module 4: Transparency and Explainability

The "black box" problem in AI systems.

Methods for making AI decisions understandable to humans.

The right to an explanation in an AI-driven world.

Communicating complex AI processes to the public.

Case studies in transparent vs. opaque systems.

Module 5: Accountability and Governance

Defining responsibility in AI-enabled decisions.

Establishing clear lines of accountability for AI systems.

The role of ethical review boards and oversight committees.

Public and legislative oversight of government AI.

Creating a culture of ethical AI governance.

Module 6: Public Trust and Engagement

The impact of AI on citizen trust in government.

Strategies for engaging the public in AI policy design.

Addressing public fears and concerns about AI.

Building a citizen-centric approach to AI services.

The role of education and digital literacy.

Module 7: AI and the Future of Work in Government

The impact of automation on public sector jobs.

Re-skilling and up-skilling the public workforce.

The role of humans in an AI-assisted environment.

Designing human-AI collaboration models.

The ethical obligations of a government employer.

Module 8: Cybersecurity and AI

The security vulnerabilities of AI systems.

Protecting government AI from malicious attacks.

The use of AI for enhanced cybersecurity.

The ethics of defensive and offensive cyber operations.

The importance of robust security protocols.

Module 9: AI and Public Policy

The use of AI in policy formulation and evaluation.

The ethics of predictive policing and risk assessment tools.

AI's role in social services, healthcare, and education.

Developing agile and adaptive regulatory frameworks.

The challenges of regulating rapidly evolving technology.

Module 10: Legal and Regulatory Frameworks

Existing laws and regulations applicable to AI.

The need for new legislation to address AI-specific issues.

The role of regulatory sandboxes and pilot programs.

The impact of international laws on national AI policies.

Best practices for legal compliance.

Module 11: International and Geopolitical Implications

The global AI race and its ethical dimensions.

The role of international collaboration in AI governance.

The ethics of AI in defense and military applications.

Addressing the digital divide and global equity.

The impact of cross-border data flows.

Module 12: Ethical Impact Assessments (EIAs)

The purpose and methodology of an ethical impact assessment.

Identifying and evaluating ethical risks in AI projects.

Stakeholder consultation in the EIA process.

Reporting and communicating EIA findings.

Integrating EIA into the project lifecycle.

Module 13: Procurement and Vendor Management

The ethical considerations of procuring AI from private companies.

Drafting ethical clauses and requirements in contracts.

Ensuring vendor compliance with public sector values.

Managing intellectual property and data ownership.

Auditing and oversight of third-party AI systems.

Module 14: Practical Tools and Frameworks

A hands-on guide to ethical AI frameworks.

Using checklists and decision-making matrices.

Practical exercises in bias detection and mitigation.

Developing a communication plan for an AI project.

Role-playing scenarios to practice ethical decision-making.

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

 

Governing The Algorithmic Age: Public Ethics And Ai in Guatemala
Dates Fees Location Action