Last month\u2019s blog was about the challenges in determining real scientific research and reports that include falsified or erroneous conclusions.\u00a0 It is difficult enough to understand results that are presented without complete coverage of the underlying premises.\u00a0 There are professionals who have indicated that careful watching of a person\u2019s gestures or mannerism during a presentation can provide evidence of inaccuracies.\u00a0 Professionals are able to evaluate changes in voice tones that can provide<\/p>\n
Or at least they used to be.\u00a0 In an April 2018 article \u201cForging Voices and Faces: The Dangers of Audio and Video Fabrication\u201d [Ref. 1], The author covers mentions a speech that President John F. Kennedy was to give the evening of November 22, 1963.\u00a0 A company re-created the speech that was to be given with a synthetization of audio fragments of Kennedy\u2019s actual voice.\u00a0 There are currently a number of programs that can be employed to synthesize audio.<\/p>\n
In the 1960s there were a number of efforts by the Russians to remove people, who were no longer in favor, from pictures.\u00a0 At that time, it took massive computer power costing in excess of $50,000 and much labor to achieve the removal of a person.\u00a0 [See Ref. 2 for a number of pictures showing the removal.]<\/p>\n
Today, there are a number of way of programs that can be employed on relatively inexpensive desk computers that can make credible changes to photographs.\u00a0 The Wall Street Journal is working to educate their journalists on identifying what are being called \u201cdeepfakes\u201d. [Ref. 3] Somethings like, direction of shadows or changes of resolution within a picture can be obvious.\u00a0 As the Wall Street Journal states: \u201cSeeing isn\u2019t believing anymore.\u00a0 Deep-learning computer applications can now generate fake video and audio recordings that look strikingly real.\u201d [Ref. 5].<\/p>\n
One of the most recent articles on the impact of computer-generated capabilities is from the IEEE. [Ref. 5]\u00a0 The focus is on the ability of artificial intelligence software to generate Digital doppelgangers of anyone.\u00a0 Work at the University of Washington cited in the article shows how \u201cfake\u201d images can be created from available images on the internet.\u00a0 In particular, the researchers chose to work with high resolution images of Barack Obama.\u00a0 The researchers had a Neural net analyze millions of video frames to create elements of all facial mannerisms as he talked.<\/p>\n
There are still areas that need improvement to do an actual replication of the person speaking because the superposition of facial features including the muscles that move when a person is speaking can not yet be accurately replicated when the person turns slightly.\u00a0 But, that is just a matter of improvements in the techniques.<\/p>\n
There are articles, which are intentionally not referenced, that show the techniques of using a Hollywood procedure of capturing the movements of an actor in a general manner.\u00a0 Then taking the capture movement points and coupling those movements to another person.\u00a0 It is a technique that is also used in animation.\u00a0 It\u2019s possible to photoshop the head of a person on to a look-alike body.\u00a0 Any person can be inserted into the actions.\u00a0 His or her voice can be created to enhance the believability of the video.\u00a0 What happens when these techniques are available on personal computers?<\/p>\n
Where does this lead to?\u00a0 Reference 6 indicates that there are government officials that are concerned the next US presidential election could witness a number of fake videos and cause a serious disruption of the election.\u00a0 We are losing the ability to have sources of information that can be trusted.\u00a0 How does a civilization survive when viewed, heard, or read information has a strong probability of being monoligated?<\/p>\n
References:<\/p>\n
Last month\u2019s blog was about the challenges in determining real scientific research and reports that include falsified or erroneous conclusions.\u00a0 It is difficult enough to understand results that [..]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9,5],"tags":[],"class_list":["post-318","post","type-post","status-publish","format-standard","hentry","category-nano","category-nanotechnology-risk-management"],"_links":{"self":[{"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=\/wp\/v2\/posts\/318","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=318"}],"version-history":[{"count":1,"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=\/wp\/v2\/posts\/318\/revisions"}],"predecessor-version":[{"id":319,"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=\/wp\/v2\/posts\/318\/revisions\/319"}],"wp:attachment":[{"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=318"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=318"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.nano-blog.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=318"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}