An Intensive 5-day Training Course
Artificial Intelligence (AI)
Governance, Accountability, and
Transparency in the Digital Age
Building Responsible, Ethical, and
Compliant AI Frameworks for Sustainable Innovation
Course Introduction
In the era of digital transformation, artificial intelligence (AI) has emerged as a powerful force reshaping economies, governments, and societies. From predictive analytics and automation to autonomous systems and intelligent decision-making, AI technologies now influence critical aspects of our daily lives. However, as their impact grows, so do the risks—ranging from data privacy violations and algorithmic bias to lack of explainability and regulatory non-compliance.
This Artificial Intelligence (AI) Governance, Accountability, and Transparency in the Digital Age training course provides a comprehensive exploration of AI governance in the digital age, focusing on how accountability and transparency can be embedded into AI systems from the ground up. It offers participants a practical understanding of global AI standards, risk management strategies, auditability of algorithms, and methods for ensuring responsible innovation. By combining real-world case studies with forward-looking insights, the training course empowers professionals to proactively shape AI policies and practices that are resilient, ethical, and future-ready.
This Artificial Intelligence (AI) Governance, Accountability, and Transparency in the Digital Age training course will highlight:
- The principles of AI governance frameworks and their alignment with international regulations
- Best practices for ensuring ethical accountability in AI decision-making processes
- Techniques to establish AI transparency, explainability, and auditability standards
- The role of leadership and board oversight in responsible AI adoption
- Emerging global AI policies, standards, and regulatory trends impacting industries
Objectives
By the end of this Artificial Intelligence (AI) Governance, Accountability, and Transparency in the Digital Age training course, participants will be able to:
- Understand the foundational principles of AI governance and ethics
- Identify emerging global standards and regulatory requirements for AI
- Develop governance frameworks to ensure responsible AI implementation
- Establish mechanisms for transparency, explainability, and algorithmic accountability
- Assess risks and manage compliance in AI-driven systems
- Promote trustworthy AI across public and private sectors
Organisational Impact
- Strengthened governance structures for responsible AI use
- Enhanced compliance with global AI regulations and ethical standards
- Improved decision-making through transparent and explainable AI systems
- Minimized reputational and legal risks linked to AI mismanagement
- Increased stakeholder trust in AI-driven innovations
- Leadership capability to guide AI governance transformation
Personal Impact
By attending this Artificial Intelligence (AI) Governance, Accountability, and Transparency in the Digital Age training course, participants will be able to:
- Gain strategic knowledge of AI governance, accountability, and transparency frameworks
- Build competencies in evaluating AI risks, biases, and compliance gaps
- Strengthen leadership in AI ethics, regulatory alignment, and risk mitigation
- Enhance career credentials in AI policy, governance, and responsible innovation
- Expand skills in stakeholder engagement and cross-functional governance leadership
- Become champions of ethical and trustworthy AI within their organizations
Who Should Attend?
This Oxford Management Centre Artificial Intelligence (AI) Governance, Accountability, and Transparency in the Digital Age training course will greatly benefit:
- C-suite executives and board members
- Government and regulatory officials
- AI project managers and data scientists
- Risk and compliance officers
- Policy advisors and legal professionals
- Innovation and technology strategists
Course Outline
Day One
Foundations of AI Governance and Responsible Innovation
- The evolution of AI and its impact on governance models
- Principles of responsible and trustworthy AI
- The ethical dimensions of AI decision-making
- Key governance challenges: bias, discrimination, and opacity
Day Two
Accountability in AI Systems
- What does accountability mean in AI contexts?
- Role of leadership and governance structures
- Legal accountability: Liability in AI outcomes
- Establishing roles and responsibilities for AI oversight
- Auditing AI models and decision pipelines
Day Three
Transparency and Explainability
- The need for transparency in high-stakes AI applications
- Tools and techniques for explainable AI (XAI)
- Designing systems for interpretability
- Communicating AI outcomes to stakeholders
- Addressing the black-box dilemma: balancing accuracy and explainability
Day Four
Risk, Compliance, and Regulatory Frameworks
- Overview of current and upcoming AI regulations (EU AI Act, OECD principles, etc.)
- Risk classification and mitigation strategies for AI systems
- Internal compliance structures and audit trails
- Data governance and its intersection with AI governance
- Building AI governance frameworks tailored to industry contexts
Day Five
Operationalizing AI Governance in Your Organization
- Creating AI governance boards and review committees
- Integrating governance in AI development lifecycles
- Aligning AI governance with ESG and digital ethics strategies
- Tools and platforms for ongoing monitoring and oversight
- Action planning: Designing your organization's AI governance roadmap
Certificate
On successful completion of this training course, Oxford Management Centre Certificate with eligible Continuing Professional Education credits (CPE) from National Registry of CPE Sponsor will be awarded to the delegates
Accreditation
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FREQUENTLY ASKED QUESTIONS
Yes, we provide assistance in securing both hotel reservations & entry visa on all our international training venues, for delegates attending our training courses. For further information / assistance, please contact our Customer Service at:
- Telephone: +971 50 985 0174
- E-mail: info@oxford-management.com
Yes, Oxford Management Centre is accredited by the following professional bodies;
National Association of State Board of Accountancy (NASBA)
The Oxford Management Centre is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit.
Yes, discounts are available. For further information please call +971 50 985 0174 or email, info@oxford-management.com
Note: Discounts are not applicable with any other special offer that may be available.
All course bookings made through Oxford Management Centre are non-refundable. By registering for a course, you acknowledge and accept that fees are payable in full and are not subject to refund under any circumstances, including but not limited to participant dissatisfaction, changes in personal or professional circumstances, or partial attendance.
Oxford Management Centre reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Full details of each course – including objectives, target audience, and content – are clearly outlined prior to enrolment, and it is the responsibility of the delegate to ensure suitability before booking.
There are 2 easy ways to register:
- Online: Select the training course you want to register for, Click the “Book Your Place” button on the course page, complete the form and click submit.
- E-mail: Send your details to info@oxford-management.com
We request that all cancellations be made at least one week before the class start date. You may reschedule this class without any penalty. If not, a $250 fee will be charged for cancellations received less than one week before a class begins and for no-shows. Cancellation penalties and any fees incurred by Oxford Management Centre will be deducted from refunds.
For more information request, email info@oxford-management.com or call +971 50 985 0174.
The classroom training fees include course presentation, relevant materials, physical & digital documentation, lunch and refreshments served during entire training. Accommodation and transportation are not included in the training course fees.
While, online training fees cover the course presentation and digital documentation and relevant materials.
The Oxford Management Centre Certificate of Completion with corresponding CPE credits shall be awarded to delegates who has successfully completed the training course.
Payment must be received before the training course commences. You can make payment by bank draft, cash, credit card or wire transfer.
Note: If the payment is not received, Oxford Management Centre has the right to refuse admission.
Upon receipt of your registration form, we will send you the following by e-mail:
- Registration Confirmation
- Invoice/Receipt (where appropriate)
If you register online you will receive an e-mail within 24 hours confirming your registration.
