IBM Journey to AI blog

OCTOBER 12, 2023

Security and privacy —When all data scientists and AI models are given access to data through a single point of entry, data integrity and security are improved. Key to explainable AI is the ability to automatically compile information on a model to better explain its analytics decision-making.

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Data Scientist Metadata Responsible AI Explainability 253

IBM Journey to AI blog

JUNE 28, 2023

Today, the rate of data volume increase is similar to the rate of decrease in sequencing cost. In fact, the sequencing cost per human genome has decreased from nearly $100,000 to just $200 in September 2022. gene expression; microbiome data) and any tabular data (e.g.,

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Data Analysis Data Scientist Explainable AI AI Strategy 189

DataRobot Blog

MARCH 15, 2022

The main themes emerging from our conversations cover data integration, security and humility, strategy, and workforce development: Join siloed data together to create longitudinal, ready-to-analyze datasets. AI systems need to be built to be humble and—when there is doubt—transfer the decision-making to humans.

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Explainability AI AI Explainable AI 52

Heartbeat

NOVEMBER 27, 2023

Explainable AI and Interpretability The decision-making process of deep learning models is unintelligible and inexplicable, making medical picture interpretation difficult. This section will explore some of these directions and technologies, highlighting their potential impact on the field. References Dylan et al.

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Deep Learning Convolutional Neural Networks Neural Network Explainability 59