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AI Systems in the Workplace: A Disruptive Technology or a blessing?

Generative AI systems or what is termed in the European Union Artificial Intelligence Act (EU AI Act) General Purpose AI systems (GPAI), particularly like GPT4 and Gemini by Google, are seen as disruptive technologies across most industries.

What does this mean?

It means these GPAIs are making a lot of things easier and faster to accomplish, which is great, but it also means they are causing the way organisation do business to change and to change rapidly, regardless of the industry that they find themselves in.

Do your employees use ChatGPT?

These advanced GPAI systems handle diverse and complex data formats, which allows for their scope to be broadened exponentially.  Nowadays, it is all too easy for employees to ask ChatGPT for the answer to any workplace challenge.

However, the complexity and emergent autonomy of these systems not only introduce challenges in transparency and predictability, but they also introduce complexity into an organisation’s governance procedures.

If you cannot predict or understand what your GPAI systems are doing, then how can you ensure they are compliant?

Break it down into transparent and digestible steps

Our data protection and AI consultants will help you come up with a framework to break your AI compliance down into small, digestible steps that your company can achieve in time for when the EU AI Act comes into force.

We can help you understand and prioritise your AI compliance journey by building it into your existing compliance frameworks, like data protection and security compliance.

Not only will we ensure that your AI systems adhere to all relevant legislation, but we will also work to help you follow ethical guidelines, mitigate risks, maintain transparency, and build trust with your stakeholders, while enjoying all the benefits that these systems can offer you, your employees and your company.




 

Frequently Asked Questions on AI Compliance

 

1.       What regulations govern AI compliance?

The answer to this question depends on where you are in the world. AI compliance is governed by a variety of regulations, across different global jurisdictions. Here are some key regulations that have emerged or are emerging currently:

EU Artificial Intelligence Act (EU AI Act) sets rules for the use of AI in the European Union. It takes a “risk-based” approach, classifying and regulating systems based on their risk levels.

Algorithmic Accountability Act (AAA) is a proposed US bill that aims to address the potential risks associated with automated decision systems (ADS) and their impact on individuals and communities.

In addition to these specific AI laws, existing laws related to data privacy, cybersecurity, and employment also apply to AI systems. The General Data Protection Regulation in the European Union is an example of such a law that regulates 'automated decision-making'.

 

2.       How do companies ensure AI compliance?

Companies ensure AI compliance through several key practices, such as establishing clear policies and procedures, developing a comprehensive compliance program, creating an AI governance framework, ensuring data privacy and security and establishing an audit process.

 

3.       What are the key areas of AI compliance?

AI compliance encompasses several key areas. Organizations should handle AI compliance in a systemic way to allow for a consistent compliance approach across the organization.

They should also proactively monitor the development and revision of relevant AI legislation. When an organization is subject to several AI laws, it is often difficult to narrow down the full set of AI regulatory requirements that should be addressed in a specific context. In this scenario,

organizations need to conduct thorough risk assessments and implement strategies to mitigate any potential risk to the company.

Using high-quality datasets to train AI systems is crucial to minimizing risk. Keeping a record of AI activities across the organisation also helps to ensure transparency and accountability.

Additionally, employees should be provided with clear and understandable information about the AI system they need to use to carry out their job.

Human oversight is also necessary to guarantee that AI systems operate as intended in the organisation and that there is someone there to intervene when necessary to avoid error or biases that could cause harm to employees and customers.

At all times, the organisation should essentially strive to ensure AI systems are robust, secure, and accurate in their operations.

 

4.       What are the consequences of non-compliance in AI systems?

Non-compliance can have several serious consequences for an organisation such as hefty fines and legal action, as well as serious reputational damage, which can lead to a reduction of customer trust that is usually difficult to earn back.

In addition, non-compliance can result in security breaches, data loss, or cyber-attacks, these in turn can compromise the confidentiality, integrity, and availability of critical business information.

 

 

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