The realm of artificial intelligence (AI) has been a bedrock of transformative technologies, shaping the contours of our digital world. However, a new horizon beckons — Artificial General Intelligence (AGI), an epochal leap from specialized AI systems to machines that can think, learn, and adapt like humans. This blog delves into the technical intricacies and fascinating potential of AGI, poised to redefine the boundaries of what machines can achieve.

In the modern business landscape, the integration of AI technologies demands a commitment to ethical, human-centered practices. The adoption of Responsible AI (RAI) Principles is crucial for ensuring these technologies are used in a way that benefits society, respects individual rights, and promotes sustainability. Below is an expanded look at each of these principles and their importance in the business context.

Adding a layer of depth to our understanding of Responsible AI in the charity sector are insights from experts in the field. Their collective wisdom emphasises that the practice of Responsible AI is not merely a modern phenomenon; it has a historical backdrop dating back to the 1960s.

Artificial Intelligence (AI) has become an integral part of our daily lives, from email suggestions to navigation apps and even in government systems. However, as David Ngure’s insightful article “Are AI-Generated Images Biased?” points out, the technology is far from perfect. One of the most pressing issues is the inherent bias in AI systems, which can have severe societal implications. This blog post aims to delve deeper into AI bias, taking cues from Ngure’s research and proposing a way forward to tackle this issue.

Artificial Intelligence (AI) has emerged as a transformative technology, influencing various industries and revolutionising how we live and work. However, the rapid adoption of AI technologies also brings many risks that must be carefully managed. This blog aims to provide a comprehensive overview of these risks and practical suggestions for their mitigation.

Generative artificial intelligence (AI) models like ChatGPT have exploded in popularity in recent months. These AI systems can generate synthetic text, images, audio and video that closely resembles human-created content. Major tech companies are racing to integrate generative AI into their platforms and services. But this rapid development and deployment raises serious concerns about potential consumer harm that must be addressed.

As a technical consultant advising clients on AI solutions, the implications of the new blueprint on governing AI proposed by Microsoft are significant. While bringing exciting new capabilities, AI also creates new responsibilities. As trusted advisors to clients, it’s important we stay up-to-date on the evolving laws, regulations and best practices around responsible AI development.

Artificial intelligence has taken big leaps forward in recent years. One of the most exciting and friendly new AI systems is Claude, created by the AI research company Anthropic. Claude is an AI assistant designed to be helpful, harmless, and honest.

https://claude.ai/

As a developer, you may want to create intelligent applications that can see, hear, speak, and comprehend natural language. You might assume that achieving this requires extensive AI or data science expertise. However, I’m here to inform you that you can incorporate AI capabilities into your applications with just a few lines of code.

Enter Azure Cognitive Services, a cloud-based AI service suite that offers prebuilt models and APIs for various cognitive scenarios. Whether your objective is to analyze images, transcribe speech, translate text, or generate natural language responses, Azure Cognitive Services has the solution you need.

In this blog post, I will provide an overview of Azure Cognitive Services, its capabilities, and how you can leverage them in your applications.