What is an algorithmic error?
In this article, you will learn what algorithmic errors are, the different types of these errors, and how they can cause various problems.
How to use AI for ESG?
In this article, you will learn how AI can be used to enhance ESG efforts. You’ll also learn about the advantages and disadvantages of using AI for ESG.
Key principles of AI and GDPR
In this article, you will learn about the key principles of AI and how they relate to GDPR. You’ll also discover the main challenges that arise when applying AI principles to meet GDPR requirements.
What is algorithmic bias in AI?
In this article, you will learn what algorithmic bias in AI is, the different types of bias, and how they can affect AI outcomes. You’ll also discover the main causes behind algorithmic bias.
What are AI training methods?
In this article, you will learn about different AI training methods and which ones are considered most effective. You’ll also discover how these methods can impact the overall performance of AI models.
What is AI slop?
In this article, you will learn what AI slop is and how it affects our day-to-day life. You’ll also discover the main causes behind AI slop.
What is recursive self-improvement in AI?
In this article, you will learn what recursive self-improvement in AI means and see real examples of how AI systems can enhance their own capabilities over time.
How to use AI in SDG?
In this article you’ll learn how artificial intelligence can both accelerate progress toward the United Nations’ Sustainable Development Goals and create new challenges that require responsible, ethical, and inclusive solutions.
How to make AI sustainable?
In this article, you will learn how to make artificial intelligence (AI) sustainable and which factors affect its environmental impact.
How to make an AI policy?
In this article, you will learn how to create an effective AI policy by understanding its key components and the steps involved in its development.