Fair and Equitable: How IBM Is Removing Bias from AI - DZone AI

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As more apps come to market that rely on Artificial Intelligence, software developers and data scientists can unwittingly (or perhaps even knowingly) inject their personal biases into these solutions. This can cause a variety of problems ranging from a poor user experience to major errors in critical decision-making. We at IBM have created a solution specifically to address AI bias. Because flaws and biases may not be easy to detect without the right tool, IBM is deeply committed to delivering services that are unbiased, explainable, value-aligned and transparent. Thus, we are pleased to back up that commitment with the launch of AI Fairness 360, an open-source library to help detect and remove bias in Machine Learning models and data sets.


Configure, monitor, and understand machine learning models with IBM AI OpenScale

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The new Monitor WML models with AI OpenScale code pattern shows you how to gain insight into a machine learning model using IBM AI OpenScale. The pattern provides examples of how to configure the AI OpenScale service. You can then enable and explore a model deployed with Watson Machine Learning, and create fairness and accuracy measures for the model. IBM AI OpenScale is an open platform that enables organizations to automate and operate their AI across its full lifecycle. AI OpenScale provides a powerful environment for managing AI and ML models on IBM Cloud, IBM Cloud Private, or other platforms.


Artificial Intelligence Can Now Explain Its Own Decision-Making

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People are scared of the unknown. So naturally, one reason why artificial intelligence (AI) hasn't yet been widely adopted may be because the rationale behind a machine's decision-making is still unknown. How can decisions be trusted when people don't know where they come from? This is referred to as the black box of AI--something that needs to be cracked open. As technology continues to play an increasingly important role in day-to-day life and change roles within the workforce, the ethics behind algorithms has become a hotly debated topic.


Configure, monitor, and understand machine learning models

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This series is part of the Getting started with Watson OpenScale learning path. IBM Watson OpenScale is an open platform that enables organizations to automate and operate their artificial intelligence across its full lifecycle. Watson OpenScale provides a powerful environment for managing artificial intelligence (AI) and machine learning models on IBM Cloud, IBM Cloud Private, or other platforms. Open by design: Watson OpenScale provides insights into the health of machine learning and deep learning models – performance, as well as accuracy and fairness of outcomes – built using any frameworks or integrated development environments, and deployed on any model-hosting engine. Fairer outcomes: Watson OpenScale detects and helps mitigate model biases to highlight possible fairness issues.


Watson OpenScale: Promoting trust and transparency when climbing the AI ladder

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Climbing the AI ladder: How does that affect my business? Businesses love the idea of putting data to work. Building and scaling AI with trust and transparency -- sounds great, right? As enterprises adopt machine learning to streamline customer service and remedial tasks, their employees can provide better customer experience while freeing themselves up to work on more interesting problems. IBM leads the industry in empowering enterprises to accelerate the journey to AI.