advanced search
Do you have any questions?
+420 731 175 867 (Mo-Fr: 9A.M.-5P.M.)
EN
0 Basket

AI+ Ethics™

Course code: AC120

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

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

 

Akční cena
175 EUR

212 EUR including VAT

Selection of dates
onas
Do you have a question?
+420 731 175 867 edu@edutrainings.cz

Professional
and certified lecturers

Internationally
recognized certifications

Wide range of technical
and soft skills courses

View soft skills courses

Great customer
service

Making courses
exactly to measure your needs

Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 175 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
Upon request Self-paced 8 hours en 175 EUR Register
G Guaranteed course
A Akční cena

Didn't find a suitable date?

Write to us about listing an alternative tailor-made date.

Contact

Course description

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

Target group

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. 

Course structure

Course Overview

  1. Course Introduction Preview

Module 1: Overview of AI Ethics & Societal Impact

  1. 1.1 Introduction to Ethical Considerations in AI Preview
  2. 1.2 Understanding The Societal Impact of AI Technologies Preview
  3. 1.3 Strategies for Conducting Social and Ethical Impact Assessments

Module 2: Bias and Fairness in AI

  1. 2.1 Exploration of Biases in Data and Algorithms Preview
  2. 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems

Module 3: Transparency and Explainable AI

  1. 3.1 Importance of Transparent AI Systems Preview
  2. 3.2 Techniques for Explaining AI Models to Diverse Stakeholders Preview
  3. 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations

Module 4: Privacy and Security Issues in AI

  1. Study frameworks for holding organizations accountable for the ethical use of AI.
  2. Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.

Module 5: Accountability and Responsibility

  1. 5.1 Concepts of Accountability in AI Development and Deployment
  2. 5.2 Responsibilities of AI Practitioners and Organizations

Module 6: Legal and Regulatory Issues

  1. 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
  2. 6.2 Understanding the Global Regulatory Issues for AI Technologies
  3. 6.3 Case Studies: GDPR Compliance
  4. 6.4 Legal Compliance of AI Tools

Module 7: Ethical Decision-Making Frameworks

  1. 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
  2. 7.2 Case Studies and Applications of Ethical Decision-Making
  3. 7.3 Use of Simulation Platforms in Ethical Decision-Making

Module 8: AI Governance & Best Practices

  1. 8.1 Principles and Functions of International AI Governance
  2. 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
  3. 8.3 Case Studies on AI Governance

Module 9: Global AI Ethics Standards

  1. 9.1 Explore Standards: IEEE’s Ethically Aligned Design
  2. 9.2 Comparative Case Studies on Standard Implementations
  3. 9.3 Tools for Evaluating AI Systems Against Global Standards

Optional Module: AI Agents for Ethics and Its Implications

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

Prerequisites

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

Do you need advice or a tailor-made course?

onas

product support

+420 731 175 867

edu@edutrainings.cz

Certification

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

ComGate payment gateway MasterCard Logo Visa logo