Pickl AI
APRIL 8, 2024
Algorithms on massive datasets, and if these datasets contain inherent biases, the AI will inherit them as well. Example In 2016, an investigation by ProPublica revealed that a risk assessment algorithm used in US courts to predict recidivism rates was biased against Black defendants. How Can We Ensure the Transparency of AI Systems?
Heartbeat
SEPTEMBER 13, 2023
Distinction Between Interpretability and Explainability Interpretability and explainability are interchangeable concepts in machine learning and artificial intelligence because they share a similar goal of explaining AI predictions. However, there are slight differences between them. Singh, S. & & Geustrin, C.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Pickl AI
JULY 24, 2024
The future of AI also holds exciting possibilities, including advancements in general Artificial Intelligence (AGI), which aims to create machines capable of understanding and learning any intellectual task that a human can perform. 2004: Discussions about Generative Adversarial Networks (GANs) begin, signalling the start of a new era in AI.
Heartbeat
FEBRUARY 2, 2024
In xxAI — Beyond Explainable AI Chapter. Email: {ygoyal, tjskhot}@vt.edu, douglas.a.summers-stay.civ@mail.mil, {dbatra, parikh}@gatech.edu. Salewski, L., Koepke, A. Lensch, H. A., & Akata, Z. CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations.” In Lecture Notes in Computer Science (LNAI), Volume 13200.
Unite.AI
NOVEMBER 29, 2023
In the context of the electoral process, AI watchdogs are symbolized as AI-based systems to combat instances of disinformation to uphold the integrity of elections. Looking back at the recent past, the 2016 US presidential election result makes us explore what influenced voters' decisions.
Expert insights. Personalized for you.
52 
Let's personalize your content