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Get a grip on AI: why your organization needs governance now

Artificial intelligence offers unprecedented opportunities, but without policy it also poses serious risks. AI is often already being used within organizations, sometimes without this being known or regulated. For example, employees use tools such as ChatGPT or AI image generators at their own discretion. Lack of instilled centralized framework leaves room for uncontrolled growth of data flows and risks of data leaks

The European AI Regulation (AI Act) is now in force. This law requires organizations to classify AI use and make it verifiable. Without a policy in place, you run the risk of fines and loss of trust. By acting now, you demonstrate leadership and turn AI into a strategic advantage.

3 benefits of AI governance

AI Regulation

The government applies clear risk categories for AI: prohibited practices, high risk, and vulnerability of deception. Organizations that use AI must comply with strict requirements regarding transparency, accountability, human control, and incident response. In addition, it is important that roles and responsibilities surrounding AI are clearly defined. Without a good policy, you run the risk of fines, sanctions, and reputational damage.

Prevent downtime

Without appropriate policies, AI can not only pose an operational risk, but also lead to data breaches where sensitive business information ends up in the wrong hands. Well-designed policies and processes ensure control over AI applications, protect information, and safeguard the integrity of your business operations.

Risk management

Risk management and thorough assessments provide insight into the legal, ethical, and technical risks of AI. Sphere IT supports you in drawing up policies, setting up governance, and classifying AI risks. This allows you to manage risks effectively and use AI in a responsible manner.
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Experts speak

Download the whitepaper on AI governance!

Curious about what AI governance means for your organization? Receive our AI Governance White Paper for free by email now! You can read why AI policy is needed now, what the European AI Regulation requires of you, and how ISO/IEC 42001 helps to manage risks and ensure responsible AI use.

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What can we do for you?

Policy development
Developing AI policy and ethical guidelines. Establishing governance and responsibilities.
AI Impact Assessment
Inventory of AI applications and performing risk analyses (ethical, legal, technical).
Process design
Integration with existing management systems (such as ISO 27001/9001) and procedures for approval, monitoring, and incident handling.
Training & Awareness
Awareness among employees and management, with a focus on responsible use.
Safe & responsible use of AI
By bringing all these elements together, we ensure the controllable, secure deployment of AI within your organization.
Different topic?
Please, feel free to ask us for help.
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  • Maroche Delnoy
    Cybersecurity Specialist
  • Steven Van Hal
    IT-security Consultant
  • Dave Breijman
    Security Architect

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FAQ

AI Governance is the set of processes, policies, responsibilities, and controls that govern the use of artificial intelligence in a safe, ethical, and compliant manner. It helps organizations use AI responsibly, mitigate risks, and comply with laws and regulations.
AI Governance is the set of processes, policies, responsibilities, and controls that govern the use of artificial intelligence in a safe, ethical, and compliant manner. It helps organizations use AI responsibly, mitigate risks, and comply with laws and regulations.
Yes, organizations that purchase, use, or integrate AI systems may also fall under the AI Act. The law applies not only to developers, but also to providers, users, and distributors of AI within the EU.
ISO42001 is the first international management standard specifically for AI. It requires organizations to establish policies, processes, and risk analyses around AI applications, with a focus on ethics, transparency, human oversight, and continuous improvement.
An AI Impact Assessment is a systematic assessment of the risks of an AI system on fundamental rights, safety, transparency, and discrimination. You carry this out before deploying AI, especially for high-risk systems (as defined in the AI Act).
A DPIA focuses specifically on privacy risks when processing personal data (under the GDPR). An AIIA takes a broader view of ethics, safety, and the impact on human rights when using AI. Sometimes both are necessary, and you can combine them.

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