Could an AI ethics audit end up like GDPR?
In continuing my trend for AI ethics from the last post, Spinoza: Building an AI Ethics Framework From First Principles, I found some early research… Read More »Could an AI ethics audit end up like GDPR?
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ajitjaokar
Based in London, Ajit's work spans research, entrepreneurship, and academia relating to artificial intelligence (AI) with Cyber-Physical systems. He is the course director of the course: Artificial Intelligence: Cloud and Edge Implementations at the University of Oxford. He is also a visiting fellow in Engineering Sciences at the University of Oxford. Besides this, he also conducts the University of Oxford courses: Digital Twins, Cybseecurity, and Agtech. Ajit works as a Data Scientist through his company, feynlabs - focusing on building innovative early-stage AI prototypes for complex AI applications. Besides the University of Oxford, Ajit has also conducted AI courses at the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM), and as part of The Future Society at the Harvard Kennedy School of Government.
Spinoza: Building an AI Ethics Framework From First Principles
Spinoza’s ethics was the first attempt to apply Euclidean thinking to philosophy to create a system of ethics from first principles. Could we apply the… Read More »Spinoza: Building an AI Ethics Framework From First Principles
A minimum viable learning framework for self-learning AI (machine learning and deep learning)
AI is a complex subject and hard to learn Often, in the early stages, people make mistake such as a) They try to learn everything… Read More »A minimum viable learning framework for self-learning AI (machine learning and deep learning)
Do algorithms introduce bias or do they promote transparency?
Background Every industry will be affected by algorithms and algorithmic bias. But we could rethink this as Do algorithms introduce bias or do they… Read More »Do algorithms introduce bias or do they promote transparency?
Human In The Loop: A Case for Human Augmented Interaction
I read an article recently, which had a memorable statement: Just about every successful deployment of AI has either one of two expedients: It has… Read More »Human In The Loop: A Case for Human Augmented Interaction
Understanding the Deep Learning Landscape
Extending our previous theme Companies who had AI and Digital at their core have fared far bette…, in this post, we consider the approaches to… Read More »Understanding the Deep Learning Landscape
Companies who had AI and Digital at their core have fared far better in the pandemic
We knew intuitively that companies that have digital technologies and AI at their core have fared better in the pandemic. But now, there appears to… Read More »Companies who had AI and Digital at their core have fared far better in the pandemic
Why AI tools Failed to Help With Detecting COVID
Following on from the article last week Deep learning in biology and medicine we discuss another sobering trend – according to some recent… Read More »Why AI tools Failed to Help With Detecting COVID
Deep learning in biology and medicine
Background In this post, we examine applications of deep learning to three key biomedical problems: patient classification, fundamental biological processes, and treatment of patients. The… Read More »Deep learning in biology and medicine
A taxonomy of Transformer based pre-trained language models (TPTLM)
We follow on from our two previous posts Opportunities and Risks of foundation models Understanding self supervised learning In this post, we understand the taxonomy… Read More »A taxonomy of Transformer based pre-trained language models (TPTLM)