
United Kingdom •
$5,001 - $10,000
About
Given the current AI hype, it's important to understand how to develop AI models responsibly
Building Responsibly in an AI Driven World
Artificial Intelligence (AI) has led to many state-of-the-art, groundbreaking discoveries across the world and has contributed greatly towards the good of society. For example, we’ve seen breakthroughs in Medicine, that has led to drug development, drug discovery and more accurate medical diagnosis. There’s also been an increase in AI adoption across businesses and users in the past few years, with the likes of ChatGPT now having a user base of 100+ million users within two months. ChatGPT is now considered the fastest growing app of all time. We live in a world with AI at our fingertips, and along it’s fascinating uses and outcomes comes challenges that are threatening to the safety, privacy, security and equal treatment of people in society. In this session, we’ll look at some of challenges facing AI today, and potential solutions to tackle these problems.
The New Era: Embracing AI Technologies in Marketing
In a world where we're going through the fourth industrial revolution, this time with Artificial Intelligence in the language domain, it's important for marketers to be aware of the benefits of using AI and to leverage the technology for further productivity and efficiency.
Thinking Responsibly: The Science Behind Responsible AI Frameworks
In today's world where Artificial Intelligence (AI) is a predominant technology in almost every device, software and platform, it's important we understand the benefits of AI, its latest breakthroughs and potential problem solving techniques as well as the prevalent dangers and harms it poses to society. While its the world's leading technology with a compound annual growth rate (CAGR) of 38.1% for the next 8 years, it's notoriously known for bias, harms, discrimination, privacy and human rights violations amongst others. In this session, we'd look at the amazing potential AI brings to society as well as its harms, and how to carry out Responsible AI practices on ML models.
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