Synthetic Media to Synthetic Data

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Synthetic Media to Synthetic Data

• D-ID

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Synthetic Media to Synthetic Data

• The smartphone has enabled the acceleration of
  photos, which gave rise to image databases, and
  an exploding demand to improve accuracy rates of
  facial identification. What weve experienced in
  the last 6 years include law enforcements
  dependence on CCTV cameras, in most public places
  and in schools and similar technologies like Ring
  in our homes applications to surveil employees
  and contractors like Amazons driver monitoring
  the use of more peoples personal photos used
  without consent as in the case of Clearview a
  Covid-19 response to mandate remote video
  classroom learning that has also unveiled
  practices to collect student biometric and other
  personal information, while also leveraging AI
  analysis to determine instances of student
  cheating.

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Synthetic Media to Synthetic Data

• What has become common practice in the last 35
  years is the development of large scale databases
  including Facial Recognition Technology FERET,
  introduced by DARPA in the mid-1990s, the Labeled
  Faces in the Wild (LFW) released in 2007 that
  included images downloaded directly by
  researchers from Google, Flickr, Yahoo and
  finally Facebooks own database of user photos
  which, in 2014, were used to train their deep
  learning model DeepFace. These sources collected
  information from millions of individuals, without
  consent, and surreptitiously operated below the
  radar of any impending legislation. The fallout
  has been the inception of decisioning systems
  intent on procuring more pervasive recognition,
  tracking, and predictions, which have already
  proven to be harmful to individuals and groups.

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Synthetic Media to Synthetic Data

• Gartner recently released their Predicts 2021
  Report Artificial Intelligence and Its Impact on
  People and Society which posed this glimpse into
  the future
• Generative AI, for example, is now able to
  create amazingly realistic photographs of people
  and objects that dont actually exist Gartner
  predicts that by 2023, 20 of account takeovers
  will use deep fakes generated by this type of AI.
  AI capabilities that can create and generate
  hyper-realistic content will have a
  transformational effect on the extent to which
  people can trust their own eyes. 

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Synthetic Media to Synthetic Data

• To counter this, the industry is starting to put
  protective policies in place. Currently, the
  petabytes of data that are generated everyday are
  largely in control by the big tech giants
  Google, Amazon, Microsoft, Facebook, Apple.
  Smaller start-up companies do not have access to
  these huge data sets and therefore are already at
  a disadvantage when they create their training
  models. The use of synthetic data becomes the
  privacy-preserving alternative that allows
  smaller companies to build their dataset volumes
  effectively to create prototypes and models, For
  additional information on synthetic media to
  synthetic data please visit D-ID.com website