Josh A. Goldstein and Andrew Lohn published an article on deepfakes and the “liar’s dividend” as part of an essay series convened by the Brennan Center for Justice and the Center for Security and Emerging Technology (CSET) on “AI and Democracy.”
As audiovisual content generated by artificial intelligence (AI) tools becomes more realistic and prevalent, claims by unscrupulous actors that real content is AI-generated become more persuasive too. In their piece, Goldstein and Lohn unpack what this liar’s dividend dynamic might look like in upcoming elections and factors that would determine, in the would-be liar’s mind, the expected gains of falsely claiming true content as fake.
Goldstein and Lohn find there is no silver bullet to the liar’s dividend dynamic. Yet, they argue that establishing norms against these lies, developing technology to verify content’s provenance, and enhancing public discernment are crucial to counter this threat.
Read the full article here.