,,ib ,union ,calendar ,no4 #bac #aafth ,,congress #ast ,session ,h4 ,r4 #dcee ,report ,no4 #aaf-bfh ,,in ,,the ,,house ,,of ,,representatives ,september #ag1 #bjai ,mr4 ,gonzalez of ,ohio 7for himself1 ,ms4 ,stevens1 ,mr4 ,baird1 and ,ms4 ,hill of ,california7 introduced the following bill2 which was referred to the ,committee on ,science1 ,space1 and ,technology ,november #e1 #bjai ,additional sponsors3 ,ms4 ,sherrill1 ,ms4 ,wexton1 ,miss ,gonzlez-,coln of ,puerto ,rico1 ,ms4 ,slotkin1 ,mr4 ,lucas1 and ,ms4 ,spanberger ,reported with an amendment1 committed to the ,committee of the ,whole ,house on the ,state of the ,union1 and ordered to be printed ,strike out all after the enacting clause and insert the part printed in italic ,for text of introduced bill1 see copy of bill as introduced on ,september #ag1 #bjai ,a ,,bill ,to direct the ,director of the ,national ,science ,foundation to support research on the outputs that may be generated by generative adversarial networks1 otherwise known as deepfakes1 and other comparable techniques that may be developed in the future1 and for other purposes4 #a4 ,short title ,this ,act may be cited as the ,identifying ,outputs of ,generative ,adversarial ,networks ,act or the ,,iogan ,act4 #b4 ,findings ,congress finds the following3 7#a7 ,research gaps currently exist on the underlying technology needed to develop tools to identify authentic videos1 voice reproduction1 or photos from manipulated or synthesized content1 including those generated by generative adversarial networks4 7#b7 ,the ,national ,science ,foundation's focus to support research in artificial intelligence through computer and information science and engineering1 cognitive science and psychology1 economics and game theory1 control theory1 linguistics1 mathematics1 and philosophy1 is building a better understanding of how new technologies are shaping the society and economy of the ,united ,states4 7#c7 ,the ,national ,science ,foundation has identified the #aj ,big ,ideas for ,,nsf ,future ,investment including ,harnessing the ,data ,revolution and the ,future of ,work at the ,human-,technology ,frontier1 in with artificial intelligence is a critical component4 7#d7 ,the outputs generated by generative adversarial networks should be included under the umbrella of research described in paragraph 7#c7 given the grave national security and societal impact potential of such networks4 7#e7 ,generative adversarial networks are not likely to be utilized as the sole technique of artificial intelligence or machine learning capable of creating credible deepfakes and other comparable techniques may be developed in the future to produce similar outputs4 #c4 ,,nsf support of research on manipulated or synthesized content and information security ,the ,director of the ,national ,science ,foundation1 in consultation with other relevant ,federal agencies1 shall support merit-reviewed and competitively awarded research on manipulated or synthesized content and information authenticity1 which may include-- 7#a7 fundamental research on digital forensic tools or other technologies for verifying the authenticity of information and detection of manipulated or synthesized content1 including content generated by generative adversarial networks2 7#b7 fundamental research on technical tools for identifying manipulated or synthesized content1 such as watermarking systems for generated media2 7#c7 social and behavioral research related to manipulated or synthesized content1 including the ethics of the technology and human engagement with the content2 7#d7 research on public understanding and awareness of manipulated and synthesized content1 including research on best practices for educating the public to discern authenticity of digital content2 and 7#e7 research awards coordinated with other federal agencies and programs including the ,networking and ,information ,technology ,research and ,development ,program1 the ,defense ,advanced ,research ,projects ,agency and the ,intelligence ,advanced ,research ,projects ,agency4 #d4 ,,nist support for research and standards on generative adversarial networks 7a7 ,in general ,the ,director of the ,national ,institute of ,standards and ,technology shall support research for the development of measurements and standards necessary to accelerate the development of the technological tools to examine the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content4 7b7 ,outreach ,the ,director of the ,national ,institute of ,standards and ,technology shall conduct outreach-- 7#a7 to receive input from private1 public1 and academic stakeholders on fundamental measurements and standards research necessary to examine the function and outputs of generative adversarial networks2 and 7#b7 to consider the feasibility of an ongoing public and private sector engagement to develop voluntary standards for the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content4 #e4 ,report on feasibility of public-private partnership to detect manipulated or synthesized content ,not later than one year after the date of the enactment of this ,act1 the ,director of the ,national ,science ,foundation and the ,director of the ,national ,institute of ,standards and ,technology shall jointly submit to the ,committee on ,space1 ,science1 and ,technology of the ,house of ,representatives and the ,committee on ,commerce1 ,science1 and ,transportation a report containing-- 7#a7 the ,directors' findings with respect to the feasibility for research opportunities with the private sector1 including digital media companies to detect the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content2 and 7#b7 any policy recommendations of the ,directors that could facilitate and improve communication and coordination between the private sector1 the ,national ,science ,foundation1 and relevant ,federal agencies through the implementation of innovative approaches to detect digital content produced by generative adversarial networks or other technologies that synthesize or manipulate content4 #f4 ,generative adversarial network defined ,in this ,act1 the term generative adversarial network means1 with respect to artificial intelligence1 the machine learning process of attempting to cause a generator artificial neural network 7referred to in this paragraph as the generator and a discriminator artificial neural network 7referred to in this paragraph as a discriminator7 to compete against each other to become more accurate in their function and outputs1 through which the generator and discriminator create a feedback loop1 causing the generator to produce increasingly higher-quality artificial outputs and the discriminator to increasingly improve in detecting such artificial outputs4 ,november #e1 #bjai ,reported with an amendment1 committed to the ,committee of the ,whole ,house on the ,state of the ,union1 and ordered to be printed