Ethics and responsible artificial intelligence in business
Workshop on building a 'compass' of artificial intelligence implementations based on ethical principles, legal compliance and control of algorithmic risks. The program focuses on practical business dilemmas related to the application of AI and building a corporate governance system. The methodology is based on the analysis of real cases of ethical dilemmas and the creation of a risk and impact matrix. Participants develop a draft AI policy ready for implementation in the organization.
Issues
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The ethics of algorithms
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Governance of artificial intelligence
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Algorithmic justice
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Explainability of AI
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Audit of machine learning models
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Algorithmic accountability
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AI usage policies
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Compliance monitoring
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Documenting AI processes
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A culture of ethical innovation
Benefits
- The training will enable minimization of legal and reputational risks through a systematic approach to AI ethics
- To build stakeholder trust through transparent rules for the use of artificial intelligence
- The workshop will help build competitive advantage on a foundation of responsible AI practices
- After the training, AI deployment decisions will be made based on clear ethical criteria
- Participants will be able to embed a culture of responsible innovation throughout the organization
- The training will ensure compliance with AI regulations before they go into effect
- Developed standards for documenting and monitoring AI will enable effective auditing of processes
Who is this training for?
Prerequisites
- Basic knowledge of artificial intelligence applications in business
- Experience in risk management or compliance in an organization
- Ability to analyze business processes and identify risk points
- Knowledge of data protection basics and industry regulations
Training program
the basics of AI ethics in a business context
- Major ethical dilemmas in AI applications
- Bias of algorithms and fairness of decisions
- Transparency and explainability of AI models
- Responsibility for algorithmic decisions
legal compliance and risk management
- AI regulation in the European Union and globally
- Identification and assessment of algorithmic risks
- Documenting AI decision-making processes
- User rights and data protection
building an AI governance system
- Roles and responsibilities in governance AI
- Model review and approval processes
- Registration of data sets and models
- Monitoring and auditing of systems in operation
implementation of AI policies in the organization
- Developing an AI code of ethics
- Compliance monitoring indicators
- Employee training and awareness
- Implementation plan and communication of changes
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Ethics and responsible artificial intelligence in business training for?
This training is designed for professionals looking to develop skills in ethics and responsible artificial intelligence in business. Required level: intermediate.
How long is the Ethics and responsible artificial intelligence in business training?
The training lasts 2. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.