Unite.AI

OCTOBER 20, 2023

In 2022, companies had an average of 3.8 AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.

Responsible AI 283

Responsible AI Generative AI AI AI 283

IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

Data Scientist 253

Data Scientist Metadata Responsible AI Explainability 253

Unite.AI

AUGUST 25, 2023

One of the most significant issues highlighted is how the definition of responsible AI is always shifting, as societal values often do not remain consistent over time. Can focusing on Explainable AI (XAI) ever address this? In December 2022, MIT Technology Review published accounts of a longstanding iRobot practice.

Explainability 246

Explainability Explainable AI AI AI 246

Unite.AI

DECEMBER 13, 2023

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024.

AI 290

AI AI Explainability Responsible AI 290

NYU Center for Data Science

JUNE 16, 2023

In addition to working on his advanced degree, Umang is a Research Associate on the Safe and Ethical AI Team at the Alan Turing Institute. He is an Advisor at the Responsible AI Institute and has served in mentoring roles as a Thesis Co-Supervisor and Teaching Assistant at the University of Cambridge. By Meryl Phair

Machine Learning 102

Machine Learning Artificial Intelligence Artificial Intelligence Explainability 102

Unite.AI

JANUARY 12, 2024

It will examine the real-world implications across healthcare, finance, education and other domains, while surfacing emerging challenges around research quality and AI alignment with human values. Enhancing user trust via explainable AI also remains vital. Scalability issues persist due to extensive computational overhead.

Generative AI 189

Generative AI Neural Network ChatGPT OpenAI 189