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E-Compliance Academy Privacy Policy

Our Commitment to Privacy
E-Compliance Academy respects the privacy of clients, training participants and business partners. It has developed this privacy policy to protect privacy on its services. The purpose of this policy is to explain the types of information E-Compliance Academy obtains about the users of its web site owned and operated, how the information is obtained, how it is used, how it may be disclosed to others, and how users can restrict its use or disclosure. We have developed this note to inform you of ways in which we collect, store, and use information you provide to us. Personally Identifiable Information Online privacy concerns and general data protection regulations focus on the protection of personally identifiable information which an individual or customer reasonable expects to be kept private. As the term suggests, personally identifiable information is information that can be associated with a specific individual or entity. The only personally identifiable information Copenhagen Compliance obtains about individual users through our web sites is information supplied voluntarily by the user. Users interacting with our sites may be required to provide with name, titles, company names, e-mail address, or other personally identifiable information that E-Compliance Academy may use for its own business purposes, provide training services, resolve problems, or to create or inform you of products and services that better meet your needs. Without your specific approval, we only save, process and use your personal data as far as this is necessary for your visit to the website or for contractual and business purposes, such as the execution of certifications and tests. The saving, processing and usage of your data beyond this do not take place. Also, in particular, no personal usage profile is created with use of your name or other identification characteristics. Your rights to information, objection and withdrawal.

Disclosure
E-Compliance Academy will not sell, trade, or disclose to third parties any personally identifiable information derived from registration for or use of a its service without the consent of clients, except as required by subpoena, search warrant, or court order pursuant to applicable law, regulation or legal process or in the case of imminent physical harm to the customer or others.

Non-Participation
Any user who does not wish to receive further contacts from E-Compliance Academy may send e-mail to: info@copenhagencompliance.com. At any time, you have the right to withdraw your consent to the processing and use of your personal data for the future and according to the legal provisions, you also have the right of deletion, locking and changing of your data. At your request, all your personally identifiable information can be deleted from our servers.

Information
We will inform you in a written form about all your personal data that we store, in case we do. You receive the information on your personal data status on the E-Compliance Academy servers by writing to info@copenhagencompliance.com

Contact Us:
If you have any questions about this privacy policy, the practices of this site, or your dealings with this web site, you can contact us by sending e-mail to: info@copenhagencompliance.com.

If you choose to contact us via the phone, our phone number is +45 2121 0616. Our post office address is Diplomvej 381, 2800 Kongens Lyngby.

Should E-Compliance Academy modify its practices regarding the collection and use of information obtained from users in the future, this privacy policy will be amended to reflect such modifications.

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2. You are planning a new AI project for your company. What is the first step you should take?

Establish a robust AI governance framework that includes ethical considerations, risk management, data privacy, and compliance

Start coding the AI model immediately

Assess the AI software available in the market

Hire a data scientist to develop an assessment project

3. Your team has developed an AI model, but you must determine its limitations. What should you do?

Use AI model cards to document the model's purpose, performance, limitations, and ethical considerations

Rely on the model’s past performance without further testing

Deploy the model but address limitations after it’s in use

Limit the model’s use to non-critical applications without assessing risks

4. You're negotiating with an AI provider for a new system. What's the most important aspect to include in your agreement?

Negotiate clear service level agreements that outline performance metrics, monitoring processes, and remedies for non-compliance

Ask for insurance policies and accept the ISO 27001 certificate to keep the relationship flexible

Let the provider dictate the terms based on standard terms and conditions

Trust the provider's reputation and skip defining data security requirements

5. After deploying an AI system, you notice some performance issues. What should be your next step?

Establish a process for monitoring and evaluating the AI system's performance after deployment and adjust as needed

Assume the system will improve over time without intervention

Re-deploy the system multiple times until the root cause if solved

Outsource the problem to a third party without conducting any internal analysis

6. You're facing resistance to change from employees regarding a new AI implementation. How should you address this?

Provide training and resources to employees to help them understand and use the AI system effectively

Force the AI implementation by mandating immediate use without addressing concerns or feedback

Roll out the AI system gradually, but only provide training to management and leave employees to learn on their own

Delegate the AI implementation to a third party and remove employee input from the process entirely

7. You plan to implement an AI system to automate a critical business process. However, you realize that the data used to train the system is biased and may lead to unfair outcomes. What do you do?

Delay the implementation and work on collecting more diverse and representative data

Proceed with the implementation and plan to correct the bias once the system is live

Adjust the output manually when biased results are noticed without retraining the model

Rely on post-deployment feedback from users to identify and fix bias over time

8. You are negotiating a service-level agreement with an AI provider. What do you include in the agreement to ensure the provider meets your organization's needs?

The performance metrics, monitoring processes, and remedies for non-compliance

The scope of work and timeline

The description of the project goals and phases

The expected deliverables and pricing details

9. You are selecting an AI model for a business problem. What factors do you consider ensuring the model suits the problem?

The model's data size, complexity, and interpretability

The model's popularity and reputation

The model's computational requirements

The model's ease of use and customer journey

10. You are deploying an AI system and realize it is not performing as expected. What do you do?

Conduct thorough testing and validation to identify the issue

Roll back the deployment and go back to the previous system

Make adjustments to the system without new testing

Blame the AI provider for the poor performance

11. You plan to implement an AI system impacting multiple stakeholders. How do you communicate with them about the project's progress, risks, and benefits?

Through transparently and regularly through various channels

Through email or project management software with formal reports

Through meetings and presentations

Through updates only when significant milestones are reached

12. You are implementing an AI system that requires significant changes to business processes. How do you manage the change?

Develop a comprehensive change management plan that includes training and support.

Assume that employees will adapt to the change without support

Focus on implementing the system, providing training only after the AI is fully operational

Rely on management to communicate changes to frontline employees

13. You plan to use an AI solution that requires licenses and permissions from the provider. What do you do?

Obtain assurance from the AI provider that they have the necessary licenses and permissions

Review the contract's general clauses

Trust that the AI provider’s marketing materials indicate they have the necessary licenses

Discuss licenses after the AI solution is implemented to focus on immediate operational needs

14. You plan to implement an AI project, and stakeholders ask for additional features beyond the original scope. What do you do?

Validate the project's scope and communicate the changes to stakeholders, ensuring everyone is aligned on the goals and objectives

Agree to incorporate the additional features later to assess their impact on the project timeline and budget

Acknowledge the requests but prioritize them at the next project review without any immediate action

Discuss the requests informally with team members to schedule a follow-up meeting to address the requests

15. You are starting an AI project and have multiple problems to tackle. How do you prioritize them?

Begin with simpler problems and tackle more complex ones later

Start with the most complex problem and work your way down

Prioritize problems based on stakeholder requests

Try to tackle all problems simultaneously

16. You are developing a budget for an AI project. What costs do you include?

Initial implementation costs, ongoing operational expenses, software licensing, data acquisition, infrastructure, cloud services, personnel, training, and maintenance

Initial implementation costs, personnel costs, and a 10% contingency fund for unexpected expenses

Ongoing operational expenses, software licensing, and data acquisition costs, with a plan to revisit and revise the budget after the project is completed

17. You are creating an AI-specific service level agreement with an AI provider. What metrics do you include?

Performance metrics related to robustness, fairness, explainability, privacy, and resilience, including sensitivity and specificity ratios

Metrics related to accuracy

Metrics related to speed

Metrics related to cost

18. You are developing a change management plan to address potential resistance to AI adoption. What steps do you take?

Train employees to use the AI system, communicate the benefits of AI adoption, and address concerns about job displacement

Focus on identifying and supporting employees who are most likely to be champions of AI adoption and rely on them to drive the change

Develop a comprehensive communication plan highlighting AI adoption’s benefits

Create a detailed technical manual for the AI system and mandate its use, emphasizing increased efficiency in company-wide emails

19. You are evaluating the performance of an AI model. What methods do you use?

Splitting the data into training and testing sets, cross-validation, and regularisation

Split the data into training and testing sets and evaluate the model's performance using a single metric, such as accuracy

Using a combination of metrics, such as precision, recall, and F1 score, but only on the training data

Relying solely on visual inspection of the model's output and using expert judgment to determine its performance

20. You're selecting an AI model for a project that analyses patient data and recommends treatment options. You need to address regulations requiring that patients understand the basis for treatment decisions made by the model. What factor should you prioritize?

Explainability: Choose a model that is easier to interpret

Complexity: Choose a model that offers extensive features

Scalability: Choose the more straightforward to implement and cheapest option

Novelty: Choose a cutting-edge model that uses the latest techniques

21. You've implemented an AI system but are concerned about its long-term effectiveness. What should you do?

Plan for long-term maintenance, including updates, security, and support.

Schedule a yearly review to address immediate concerns

Implement a system of periodic updates based on user feedback

Invest in new features for the current system