In this session, Sammy Kolluru dives into the specific requirements for testing AI-intensive systems. Moving beyond standard coverage models, the presentation highlights the urgent need for revised strategies, specialized objectives, and continuous monitoring.
Watch the presentation: https://zurl.co/hrFxN
MLOps isn’t just pipelines—it’s where AI fails silently.
From Humans in the Loop, uncover 6 critical MLOps failure modes: human oversight gaps, biased data labeling, ethical risks, and real-world ML system breakdowns.
#MLOps #AIethics #MachineLearning #DataBias #HumanInTheLoop #DevOps #AIrisks
Teaching AI Ethics: Bias and Discrimination
This is the first post in a series exploring the nine areas of AI ethics outlined in this original post. Each post will go into detail on the ethical concern as well as providing practical ways to discuss these issues in a variety of subject areas. UPDATE: Here's a pre-post-script to this post which raises an important point about bias in image generation. It comes from a DM conversation and subsequent comment on the post on LinkedIn: Excellent comment via Lori Mazor on the image with this […]https://leonfurze.com/2023/03/06/teaching-ai-ethics-bias-and-discrimination/
Teaching AI Ethics: Environment
This is the second post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the first post on bias and discrimination, click here. The original post Teaching AI Ethics provided an overview of nine areas of ethical concern with AI. Although I primarily work with generative AI like text and image generation, many of these can be […]https://leonfurze.com/2023/03/13/teaching-ai-ethics-environment/
Teaching AI Ethics: Truth and Academic Integrity
This is the third post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on Environmental concerns, click here. The concept of "truth" is a significant ethical issue related to AI systems like ChatGPT. Since its launch in November, there have been two main concerns: first, the likelihood of AI models […]https://leonfurze.com/2023/03/21/teaching-ai-ethics-truth-and-academic-integrity/
Teaching AI Ethics: Copyright
This is the 4th post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on Truth, click here. This is the first in the 'intermediate' level of posts for Teaching AI Ethics. At this level, the concepts start to become more complex. This might be because the information is harder to access, or because the ideas […]https://leonfurze.com/2023/04/04/teaching-ai-ethics-copyright/
Teaching AI Ethics: Privacy
This is the fifth post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on copyright, click here. There are growing concerns about the impact of Artificial Intelligence technologies on our privacy. AI systems are often "black boxes", making it hard to understand how they arrive at their decisions and […]https://leonfurze.com/2023/04/10/teaching-ai-ethics-privacy/
Teaching AI Ethics: Datafication
This is the sixth post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on privacy, click here. "Datafication" is a term used to describe how all aspects of our lives are being turned into datapoints. Whether through the collection of our likes, shares, and ratings on social media and streaming apps, or […]https://leonfurze.com/2023/04/16/teaching-ai-ethics-datafication/
Teaching AI Ethics: Affect Recognition
This is the seventh post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on datafication, click here. As artificial intelligence continues to develop and influence different aspects of our lives, its role in education is becoming increasingly important. One particularly controversial implementation of AI […]https://leonfurze.com/2023/05/15/teaching-ai-ethics-affect-recognition/
imbus Canada Corporation
The-14
Ismail Kovvuru
Dr Leon Furze