Security, Privacy, Integrity, Transparency for AI Systems - Pamela Gupta

Data Transformers Podcast
Security, Privacy, Integrity, Transparency for AI Systems – Pamela Gupta
Play Episode
Pause Episode


Mute/Unmute Episode
Rewind 10 Seconds
1x
Fast Forward 30 seconds
00:00
/

00:24:13

Apple Podcasts

Google Podcasts

Spotify

Stitcher
RSS Feed


Share






Link


Embed
Security, Privacy, Integrity, Transparency for AI Systems – Pamela Gupta " />



Apple Podcasts



Google Podcasts



Spotify



Stitcher

Episode Title : Security, Privacy, Integrity, Transparency for AI Systems

Episode Summary:

As AI and its subset Machine Learning systems continue to increase in breadth and depth around us from systems being used in courts around the country to assist in determining length of incarceration to connected systems to home based devices such as Alexa, Siri and Google home – one glaring gap and risk is that of security in the development of these systems. Traditional security SDLC is not going to be sufficient to identify security, privacy vulnerabilities in these systems.

Artificial Intelligence systems require a different approach that includes the traditional security methods such as access control etc but more, a lot more – I am proposing a model that aims to build 4 critical components as a part of the build process. Security, Privacy, Integrity and Transparency so we can ensure we have secure, resilient systems with outcomes that we can trust.

Youtube link: https://youtu.be/VSQN3ck4Gxo

Data Transformers Podcast

Listen Now!

Join Peggy and Ramesh as they explore the exciting world of Data Management, Data Analytics, Data Governance, Data Privacy, Data Security, Artificial Intelligence, Cloud Computing, Internet Of Things.

Apple Podcasts



Google Podcasts



Spotify



Stitcher