How I’m fighting bias in algorithms | Joy Buolamwini | TEDxBeaconStreet
MIT Media Lab grad student Joy Buolamwini was working with facial recognition software when she noticed a problem: the software didn’t recognize her face — because the people who coded the algorithm hadn’t taught it to identify a broad range of skin tones and facial structures. Now she’s on a mission to fight bias in machine learning. She spoke at TEDxBeaconStreet in Boston. Join #codedgaze. (Ref: TED.com)
TED Video Link: http://www.ted.com/talks/joy_buolamwini_how_i_m_fighting_bias_in_algorithms
What is the social impact of facial recognition? How developers can use full spectrum inclusion coding to improve our lives?
Topic includes logic programming, coding, facial recognition software, and related uses of technologies to solve social issues.
The Americas Information Ramp. Access to databases. Business plan presentation.
Video link: https://youtu.be/UesgRQ9VIQg?list=PL50C28AC61EBA2883
This graphic shows the steps to convert data into Business Intelligence. We go from big data warehouses to do data mining and extract the pieces that we will filter, analyze and store as records in databases.
We then organize, sort, and clean records to produce information. We start the process of selecting useful information that we can convert into intelligence. Similar to military intelligence, we study this meaningful information to produce business intelligence for our organization. This business intelligence allows leaders and managers to make decisions keeping the competitive advantage. Business intelligence is also useful to expand to new markets, explore new countries, and try new systems. Two important considerations are: Control Information Overload and Validate Sources. These will help to have better Data at the Base. It is called “database” for a reason. We are using this graphic and video in our courses. #DrJoseCampus
Innovative technologies have been used in global organizations to enhance performance. Technology Acceptance Model is used to explore current trends such as new media, web 2.0 tools, and other social media networks. (2010 International College Teaching and Learning Conference). Used in Technology Management courses.
Almost a year later of previous use of this drawing and with iPhone 7 out and Galaxy 7 burning we continue the conversation about Instant Knowledge Generation and Device Oriented Learning. Are we surviving Information Overload?
Reducing Information Overload was done on 2011 to be used after the information overload presentation to emphasize the use of the iPad in E-learning. Oct 2013
Reblogged this on josetoons & scoutoons and commented:
This cartoon was updated after getting my first iPhone. Two years later I got an iPhone 6S+ with a bigger screen and still reducing information overload. Nov 2015
Original blog: https://josetoons.wordpress.com/2013/10/30/surviving-or-reducing-information-overload/
We are updating #TECHKnowledge: Five knowledge trends using technology. Young digital leaders of tomorrow are already beyond the #hashtags exploring for #InstantKnowledge. The #InstantKnowledgeGeneration is already connected. Stay tune. #IknowGen
Drawing shows 2013 college student exploring new virtual worlds with tablets and smartphones. New generation of smartphones, apps, and faster connections are contributing to expand instant knowledge. What is next?