AI researcher and YouTuber Jordan Harrod joins Tom to discuss the hype vs reality of artificial intelligence. They explore the influence and perception of AI, neural networks and image processing, the progress and challenges of AI development, AI risk, ethics, and fairness, and the fascination and impact of AI on various aspects of life.
AI systems can perpetuate biases and inequalities present in the data they were trained on.
The quality and composition of data greatly influence the performance of AI models.
AI development raises ethical concerns regarding fairness, bias, privacy, and accountability.
Deep dives
AI is a broad term that aims to replicate human intelligence
Artificial intelligence (AI) refers to systems that aim to replicate human intelligence. These systems use machine learning and large language models like ChatGPT and GPT to analyze data and generate responses or outputs based on that data.
AI can exhibit biases and discriminatory behavior
AI systems can be biased and exhibit discriminatory behavior, often reflecting the biases present in the data they were trained on. These biases can perpetuate inequalities and reinforce existing norms and structures in society.
Data sets and training are crucial for AI performance
The quality and composition of data sets used to train AI models greatly influence their performance. Biases and limitations in the data can impact the accuracy and fairness of AI systems, highlighting the importance of diverse and representative data sets.
Ethical considerations are necessary in AI development
AI development raises ethical considerations that should be addressed. Issues such as fairness, bias, privacy, and accountability need to be carefully considered to ensure that AI systems are designed and deployed responsibly.
AI risk discussions often focus on future potential harm
Discussions around AI risk often center on potential future harm, such as the advent of artificial general intelligence (AGI). However, it is important to also address current concerns regarding bias, fairness, and the impact of AI on various societal aspects, rather than solely focusing on worst-case scenarios.
Artificial Intelligence is everywhere now. Over the past year, tools like ChatGPT, Dall-E and Stable Diffusion have turned what was previously a fairly marginal technology into headline news. Industry leaders make great predictions about the future of AI, predicting an end to work (and, perhaps even an end to humanity). But how much of that is likely and how much is pure hype?
In this fortnight's episode of Induction, Tom sits down with AI researcher and YouTuber Jordan Harrod to find out.