article thumbnail

With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

However, only around 20% have implemented comprehensive programs with frameworks, governance, and guardrails to oversee AI model development and proactively identify and mitigate risks. Given the fast pace of AI development, leaders should move forward now to implement frameworks and mature processes.

article thumbnail

This AI newsletter is all you need #83

Towards AI

Last Updated on January 25, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Meta’s AI strategy was in focus, with Mark Zuckerberg boasting of Meta’s GPU hoard and outlining his open-source-focused AI vision.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

My favorite AI governance research this year so far

AI Impacts

I collected my favorite public pieces of research on AI strategy, governance, and forecasting from 2023 so far. May) Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. We explain why model evaluation is critical for addressing extreme risks.

article thumbnail

Six Steps Toward AI Security

NVIDIA

In the wake of ChatGPT, every company is trying to figure out its AI strategy, work that quickly raises the question: What about security? Security now needs to cover the AI development lifecycle. Some may feel overwhelmed at the prospect of securing new technology.

article thumbnail

Conversational AI use cases for enterprises

IBM Journey to AI blog

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Ethical and privacy considerations : As conversational AI becomes more advanced and widespread, ethical and privacy concerns will become more prominent. Ensuring fairness and inclusivity in conversational AI is crucial.

article thumbnail

Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

The skills gap in gen AI development is a significant hurdle. Startups offering tools that simplify in-house gen AI development will likely see faster adoption due to the difficulty of acquiring the right talent within enterprises.

article thumbnail

Establishing an AI/ML center of excellence

AWS Machine Learning Blog

Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI. To provide ethical integrity , an AI/ML CoE helps integrate robust guidelines and safeguards across the AI/ML lifecycle in collaboration with stakeholders.

ML 106