Organizational processes are a key nontechnical determinant of reliability in ML systems. — In our ongoing series on Machine Learning Risk Management, we've embarked on a journey to unravel the critical elements that ensure the trustworthiness of Machine Learning (ML) systems. In our first installment, we delved into "Cultural Competencies for Machine Learning Risk Management," exploring the human dimensions required to navigate this…

An organization's culture is an essential aspect of responsible AI. — In the race for progress, we must tread carefully, for haste in engineering and data science can shatter more than just code. Imagine a world where Artificial Intelligence (AI) powered systems could do no wrong, where they flawlessly executed their tasks without a glitch. Sounds like a sci-fi dream, doesn't…

Can the strengths of Language Models be turned into their weaknesses? — In 2016, Microsoft experienced a significant incident with their chatbot, Tay, highlighting the potential dangers of data poisoning. Tay was designed as an advanced chatbot created by some of the best minds at Microsoft Research to interact with users on Twitter and promote awareness about artificial intelligence. …

Building interpretable Boosting Models with IntepretML — As summed up by Miller, interpretability refers to the degree to which a human can understand the cause of a decision. A common notion in the machine learning community is that a trade-off exists between accuracy and interpretability. This means that the learning methods that are more accurate offer less…

Making the most of Google Colab notebooks — Whenever I conduct coding workshops or tutorials, Google Colaboratory Notebooks — or Colab, as it is more commonly known — remains my go-to resource. It removes the hassle of environment setup for both presenters and attendees, additionally offering free access to powerful computing resources like GPUs and TPUs. With its…

Infusing Mosaic Magic into Your Plots — Recently, I was working on a project that required creating subplots using the Matplotlib library in Python. If you’ve ever used the Matplotlib library, there’s a high chance you’ve also utilized its subplot functionality. Subplots are an effective tool for generating multiple plots simultaneously, which can be advantageous when comparing…

Evaluating single models based on global and local explanations — Machine Learning explainability refers to the ability to understand and interpret the decisions and predictions made by a machine learning model. Explainability is crucial for ensuring the trustworthiness and transparency of machine learning models, particularly in high-stakes situations where the consequences of incorrect predictions can be significant.

Google I/O 2023: A Look at Google's Approach to Building AI Responsibly — It is said that with great power comes great responsibility, but when it comes to the immense capabilities of AI, it brings a whole new level of ethical considerations and accountability. The same sentiment was echoed during Google's much anticipated I/O event on 10th May 2023. The underlying message was…

A framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). — “Information flow is what the Internet is about. Information sharing is power. If you don’t share your ideas, smart people can’t do anything about them, and you’ll remain anonymous and powerless.” — Vint Cerf While the pace at which Large Language Models (LLMs) have been driving breakthroughs is remarkable, these…