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Resolving the difficulty of Pretend Information and Fact gets to be more urgent Blockchain and AI to the Rescue?

by Avivah Litan  |  January 8, 2020  |  Post a Comment

Facebook declared yesterday its constrained plan to ban deepfake videos but stopped brief by not attempting to eradicate altered or ‘fake’ content past that, e.g. altered pictures, videos and news stories. See Facebook’s Deepfake Ban is a Resolution to a Distant Trouble

You may well also have read about Twitter’s Jack Dorsey’s undertaking to consider and decentralize social networks/media so that buyers manage their very own material feeds with their own selected algorithms. Dorsey quickly admits the difficulty of phony information/media is far too huge for any a person business to ‘police’ and solve.  See our last site on fixing bogus information problems Can World wide web 3. and Blockchain help save us from Pretend News and Material?

This week we witnessed a obvious example of an allegedly altered picture and the sort of partisanship and polarization it fosters, pointing to the immediacy of this challenge. A GOP Congressman Tweeted a Phony Impression of Obama with the Iranian President they By no means Fulfilled

The trouble of ‘fakes’ goes effectively outside of news and illustrations or photos/video clips. It extends to food, electronics, pharmaceuticals, luxurious items, and just about anything else we take in bodily or logically.   I did an interview with ISMG’s Tom Field on this subject matter before the Holiday seasons – in scenario you are interested in listening to it: Gartner’s Avivah Litan on the Rise of Pretend Every thing

Digital Provenance Verification – a Layered Strategy

To digitally confirm provenance, the ideal practice is a ‘layered security’ solution – i.e. whitelisting with blockchain and blacklisting/anomaly detection with AI/ML versions and other detection versions. This layered technique functions most effective in business protection. It also performs most effective in verifying provenance.

A number of systems need to and can be used:

  1. Whitelisting: Blockchain recording for provenance and asset monitoring
  2. Authentication: Other technologies these types of as electronic impulse screening or spectral imaging to make certain the authenticity of the post (e.g. news, food stuff, electronics) getting recorded and tracked on the blockchain
  3. Blacklisting or Anomaly Detection: employing AI and machine learning products to detect behavioral or facts anomalies for belongings/details/actions each on and off the blockchain that feed into the blockchain
  4. Bridging Physical and Digital Real truth: IoT course sensors/networks/digital twins to join actual physical ‘truth’ to digital company function ‘truth’ recorded on the blockchain

We are getting desperate for truth in a trustless entire world. Know-how can certainly perform a role on offering it.  A single of our Gartner 2020 Predicts is how Blockchain and AI will merge to battle faux information and photos/videos. See Predicts 2020: Blockchain Technology  Hope we are proper!

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Classification: 

Avivah Litan
VP Distinguished Analyst
19 years at Gartner
34 a long time IT business

Avivah Litan is a Vice President and Distinguished Analyst in Gartner Investigation. Ms. Litan’s parts of know-how incorporate endpoint security, security analytics for cybersecurity and fraud, user and entity behavioral analytics, and insider risk detection. Read Total Bio