Start Building Human-Centric Machine Learning Solutions Now With our New UC Berkeley Course

Ali Rebaie — Sun, 03 Oct 2021 14:08:42 +0000

With the increasing advancement of AI and ML technologies comes the understanding that our current relationship with AI is deeply shaped by our society’s historical experience with technology. In this course, AI engineers and enthusiasts will gain the skills to design human-centered AI experiences using human-focused science. Learn how to deploy techniques from social science to tackle cognitive gaps and fallacies when building effective computing platforms. Through case studies, practical tips and design anthropology exercises, you observe how anthropology and ML can add a new dimension to AI.

If you want to become shrewd amid all the disruptions surrounds us now from supply chain challenges to a pandemic, you will need to understand the role of algorithmic based system, that replaced equation-based systems, in looking into complex real world problems and chaos theory and how can you prepare the right culture in your business to become successful in this era.

As a course that takes a human-centric approach, having your valuable thoughts would sparkle interesting discussions around this evolving topic. Let’s start the discussion!

This course is part of an expert seminar series joined by leading experts in Silicon Valley which you can register along with the course at a discounted rate:

– Alexander Iliev, Ph.D., Lead Instructor at UC Berkeley Extension, Professor and Academic Head at SRH Berlin University of Applied Sciences.

– Nashlie Sephus, Ph.D., Tech Evangelist at Amazon Web Services (AWS) AI & Founder of theBeanPath.org

– Michael Wu PhD, Chief AI Strategist at PROS.

– Ali Rebaie, President, Data Anthropologist at Rebaie Analytics Group.

You can find the course details and registration info here.

I saw Facebook’s newly released Ray-Ban Glasses a Couple of years ago!

Ali Rebaie — Sat, 11 Sep 2021 23:19:58 +0000

When was the first time I saw Facebook’s new smart glasses “Ray-Ban Stories”? A couple of minutes ago? Ha…No, a couple of years ago, and specifically in Leipziger Pl. 9, Berlin, Germany at the Spy’s museum! In the latter glasses, a tiny digital video camera is integrated into the traditional spy glasses and videos saved into an accompanying recorder. In Facebook’s glasses, it is stored in your smart phones though…

Two main talking points about this product:

Privacy and Adoption:

Privacy?

Obviously in AI, I do believe that German’s Bauhaus Design Philosophy ” Form Follows Function” does not apply to AI. Even if the LED indicator light flickers on when the Facebook’s glasses are recording, notifying people that they are being photographed or filmed, different types of biases, uncertainties and discriminations will come into surface from the usage of the product.

Adoption? In a world of deepfakes, we might not be surprised to see a shift in human behaviour that is very similar to the peri-personal space behaviour our ancestors had in the stone age while they experienced stone age technologies. Indeed, we might wear these smart glasses to record interactions with our surroundings so that it protect us from baseless allegations in future automated cities. It also comes with the cool Ray-Ban brand

I speak more about these concepts in my newly released UC Berkeley Extension course here.

I am happy to know your thoughts/comments?

bias – Rebaie Analytics Group

Start Building Human-Centric Machine Learning Solutions Now With our New UC Berkeley Course

I saw Facebook’s newly released Ray-Ban Glasses a Couple of years ago!