AI+ Ethics™
AI+ Ethics™
Navigate the Intersection of AI and Ethics in Business Landscape
- Responsible AI Focus: Master ethical AI use aligned with business and societal values
- Risk Mitigation: Learn to manage compliance, transparency, and AI decision-making
- Strategic Guidance: Integrate ethical practices into AI adoption and leadership
- Reputation Builder: Build organisational trust and credibility in AI deployments
Prerequisites
- Basic knowledge of artificial intelligence, machine learning concepts, and their applications.
- Understanding of the social, cultural, and political implications of AI technologies.
- Understanding of professional ethics, including honesty, integrity, and responsibility.
- Exposure to real-world case studies that highlight ethical dilemmas in AI, promoting practical understanding.
- Ability to critically assess AI technologies and make ethical decisions in designing, deploying, and managing AI systems.
- Familiarity with relevant laws, regulations, and industry standards that govern AI usage.
- Course Introduction Preview
- 2.1 Exploration of Biases in Data and Algorithms Preview
- 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
- Study frameworks for holding organizations accountable for the ethical use of AI.
- Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
- 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
- 6.2 Understanding the Global Regulatory Issues for AI Technologies
- 6.3 Case Studies: GDPR Compliance
- 6.4 Legal Compliance of AI Tools
- 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
- 7.2 Case Studies and Applications of Ethical Decision-Making
- 7.3 Use of Simulation Platforms in Ethical Decision-Making
- 8.1 Principles and Functions of International AI Governance
- 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
- 8.3 Case Studies on AI Governance
- 9.1 Explore Standards: IEEE’s Ethically Aligned Design
- 9.2 Comparative Case Studies on Standard Implementations
- 9.3 Tools for Evaluating AI Systems Against Global Standards
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
AI4People (Atomium - European Institute for Science, Media, and Democracy)
IBM - AI Fairness 360
IBM - AI Explainability 360
European Commission High-Level Expert Group on AI
Passing Score : 70% (35/50)
Number of Multiple Choice Question : 50 MCQs, 90 Minutes
Number of exams required for certification : 1
Exam Blueprint
- Overview of AI Ethics & Societal Impact – 10%
- Bias and Fairness in AI – 5%
- Transparency and Explainable AI – 10%
- Privacy and Security Issues in AI – 5%
- Accountability and Responsibility – 10%
- Legal and Regulatory Issues – 15%
- Ethical Decision-Making Frameworks – 15%
- AI Governance & Best Practices – 15%
- Global AI Ethics Standards – 15%
Strategic Thinking
Learners will examine AI technologies and their commercial consequences, which involves planning strategically and make AI integration decisions for their organizations.
Ethical-Decision Making Skills
Students will learn to navigate AI’s complex ethical issues by identifying ethical concerns, applying ethical decision-making frameworks, and ensuring accountability in AI initiatives.
Project Management
Participants will learn to develop, implement, and monitor AI initiatives while addressing bias, fairness, transparency, privacy, and security.
Compliance and Governance Norms and Practices
Students will learn about AI law and regulation, focusing on ensuring AI systems comply with legal requirements and applying governance best practices to mitigate risks, maintain transparency, and uphold accountability.
Ethics Advisor
Advise on AI development and deployment ethical issues. Ensure justice, openness, and accountability in AI technology, supporting responsible innovation.
Policy Developer
Formulate and implement ethical and regulatory frameworks for AI adoption and governance to ensure responsible and equitable deployment.
Ethical Standards Advisor
Provide guidance on ethical considerations in AI development and deployment, ensuring adherence to ethical principles and societal values.
Audit Architect
Design and implement systems for ethical compliance and accountability in AI applications, conducting audits to detect and mitigate ethical risks.
FAQ
Why is there a growing demand for ethics professionals in AI?
Organizations increasingly recognize the importance of ethical considerations in AI to mitigate risks, ensure fair decision-making, and maintain a positive brand image.
Who should take the AI+ Ethics™ Certification?
This certification is ideal for business leaders, AI developers, and ethics professionals in both business and government sectors. It is particularly beneficial for those looking to enhance their understanding of ethical AI practices and make informed decisions in AI deployment.
How will this certification benefit my career?
Obtaining the AI+ Ethics™ certification demonstrates a commitment to ethical AI practices, enhancing personal credibility and professional development. It equips individuals with the skills needed to navigate complex ethical aspects of AI, promoting responsible innovation and building public trust in AI technologies.
How does the AI+ Ethics™ Certification help in career advancement?
Professionals with this certification are recognized for their expertise in ethical AI practices, making them valuable assets to organizations and potentially leading to career growth opportunities.
How can organizations benefit from having employees with AI+ Ethics™ Certification?
Organizations with certified employees can better navigate the complexities of AI implementation, ensuring ethical practices are followed, which can protect and enhance their reputation and operational integrity.
How long does the certification process take?
The course is designed for flexibility, allowing participants to learn at their own pace, making it possible to complete based on individual schedules.
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