We’re ensuring that in the future, AI applications are as fair as they are efficient across their entire lifecycle. We need to be able to look inside AI systems, to understand the rationale behind the algorithmic outcome, and even ask it questions as to how it came to its decision.Īt IBM Research, we’re working on a range of approaches to ensure that AI systems built in the future are fair, robust, explainable, account, and align with the values of the society they’re designed for. We need assurances that AI cannot be tampered with and that the system itself is secure. To trust a decision made by an algorithm, we need to know that it is fair, that it’s reliable and can be accounted for, and that it will cause no harm. The GIF dimensions 1000 x 432px was uploaded by anonymous user. Many AI systems to date have been black boxes, where data is fed in and results come out. Open & share this gif machine learning, with everyone you know. When people understand how technology works, and we can assess that it’s safe and reliable, we’re far more inclined to trust it. But broad adoption of AI systems will require humans to trust their output. Gfycat is a good gif creator as it uses a machine learning algorithm to create gif out of videos, the quality of its AI-generated GIFs. Then you could try to make a machine learning classification problem and then evaluating the results. brain circuit, Deep learning Machine learning Artificial intelligence Artificial neural network, Convolutional Neural Network, blue, angle, text png. ) or making two datasets, one containing good gifs and the other one malicious gifs. Deep learning Machine learning Artificial intelligence Computer vision, Machine Learning, leaf, symmetry, pattern Recognition png. These systems have grown increasingly complex and efficient, and AI holds the promise of uncovering valuable insights across a wide range of applications. To solve this question you could either of define what is a Malicious GIF (defining frequency and calculating an appearance ratio. Artificial intelligence systems have become increasingly prevalent in everyday life and enterprise settings, and they’re now often being used to support human decision-making.
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