AI+ Ethics Fundamentals™

Kód kurzu: AC120

Tato část není lokalizována

Price of the certification exam is included in the price of the course.

Formerly known as 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

 

Akční cena
3 500 Kč

4 235 Kč s DPH

Výběr termínů

Odborní
certifikovaní lektoři

Mezinárodně
uznávané certifikace

Široká nabídka technických
a soft skills kurzů

Skvělý zákaznický
servis

Přizpůsobení kurzů
přesně na míru

Termíny kurzu

Počáteční datum: Na vyžádání

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 3 500 Kč Akční cena

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Popis kurzu

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In-Depth Ethical Understanding:

Understand ethical considerations and social impacts of AI for responsible decision-making.

Bias Mitigation and Fairness:

Learn strategies to identify and prevent biases in AI systems, ensuring fairness and transparency.

Privacy and Security Assurance:

Explore strategies to safeguard privacy and secure AI systems and data.

Legal and Regulatory Compliance:

Understand global AI regulations to ensure compliance with legal and ethical standards.

  • 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

Cílová skupina

Tato část není lokalizována

Ethics Professionals:Enhance your expertise in AI ethics to guide responsible AI deployment. 

AI & Data Enthusiasts:Learn how to apply ethical frameworks in AI decision-making processes. 

Compliance Officers:Ensure AI technologies comply with legal and ethical standards to mitigate risks. 

Technology Leaders:Drive ethical AI strategies and lead responsible AI initiatives within organizations. 

Students & New Graduates:Gain a competitive edge in the rapidly growing field of AI ethics. 

Struktura kurzu

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Course Overview

Module 1: Overview of AI Ethics & Societal Impact

  • 1.1 Introduction to Ethical Considerations in AI Preview
  • 1.2 Understanding The Societal Impact of AI Technologies Preview
  • 1.3 Strategies for Conducting Social and Ethical Impact Assessments

Module 2: Bias and Fairness in AI

  • 2.1 Exploration of Biases in Data and Algorithms Preview
  • 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems

Module 3: Transparency and Explainable AI

  • 3.1 Importance of Transparent AI Systems Preview
  • 3.2 Techniques for Explaining AI Models to Diverse Stakeholders Preview
  • 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations

Module 4: Privacy and Security Issues in AI

  • 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.

Module 5: Accountability and Responsibility

  • 5.1 Concepts of Accountability in AI Development and Deployment
  • 5.2 Responsibilities of AI Practitioners and Organizations

Module 6: Legal and Regulatory Issues

  • 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

Module 7: Ethical Decision-Making Frameworks

  • 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

Module 8: AI Governance & Best Practices

  • 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

Module 9: Global AI Ethics Standards

  • 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

Optional Module: AI Agents for Ethics and Its Implications

  • 1. Understanding AI Agents
  • 2. Case Studies
  • 3. Hands-On Practice with AI Agents

Předpokládané znalosti

Tato část není lokalizována

Basic knowledge of artificial intelligence, machine learning concepts, Python familiarity, fundamental AI/ML concepts

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produktová podpora

Certifikace

Tato část není lokalizována

50 questions, 70% passing, 90 minutes, online proctored exam

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