Ethics in AI
How to make your organisation’s AI system responsible
Are you already harnessing the power of AI or considering its implementation soon? Perhaps you are concerned about the potential impact that AI applications could have on your company, your customers, or society. Many organisations experimenting with AI struggle with innovating responsibly and might have apprehensions surrounding the risks associated with AI technologies.
In this whitepaper, we explore the topic of Ethical AI and how ADC ensures its integration in our solutions.
DOWNLOAD THE FREE WHITE PAPER
In this downloadable whitepaper on Ethical AI, you will discover:
Defining 7 Ethical AI Principles
Learn about the 7 Ethical AI principles and how they look in practice.
Biases and Systemic Concerns in AI
Discover how to address these concerns head-on to effectively mitigate the risks of bias and discrimination in AI technologies.
Navigating the Intersection of Legal and Ethical AI
Understand the process of setting both legal and ethical requirements, including clarifying the purpose of the AI and the role your organisation plays in deploying or providing it.
ADC’s Implementation Approach
Discover ADC’s Responsible AI compass to setting key requirements. While the AI Act establishes legal requirements for AI use-cases, we aim to elevate the standard by incorporating broader ethical commitments that resonate with an organisation’s values.
Connect with our experts
My name is Lars, and I am the author of this presentation and Manager (Strategy) here at ADC. Our team has extensive experience in developing solutions that help streamline data management processes and create robust strategies. If you would like to receive this white paper personally from me or have a further no-obligation discussion, then click the button below.
What stage is your organisation in on its data-driven journey?
Discover your data maturity stage. Take our Data Maturity Assessment to find out and gain valuable insights into your organisation’s data practices.
