Adaptive Model of Rapid Response to the Deepfake Crisis: Government-Media Collaboration in Dealing with the Impact of Artificial Intelligence Development.
Keywords:
Deepfake, kecerdasan buatan, model adaptif.Abstract
The development of artificial intelligence technology has given rise to the phenomenon of deepfakesthat are able to manipulate information realistically and massively, thus causing a crisis of public trust in the media and government institutions. This condition demands an adaptive and collaborative rapid response model so that the spread of disinformation can be effectively minimized. This study aims to design and analyze an adaptive model of rapid response to the deepfake crisis through collaboration between the government and the media as a strategy to mitigate the negative impact of artificial intelligence development. This study employs a qualitative phenomenological design with an applied research approach, which allows an in-depth exploration of the experiences and perceptions of institutional actors in dealing with the digital information crisis.The participants consisted of government officials, journalists, media editors, and academics selected as key informantsin the field of public communication, journalists and national media editors, as well as academics who understand the ethical issues of artificial intelligence. A total of 25 key informants were purposively selected to achieve data saturationusing purposive sampling techniques, based on their involvement in public information management, digital policy, and media content production. Data were collected through in-depth interviews, observations, and documentation, and analyzed using a thematic approach. The findings indicate fragmented collaboration characterized by delayed inter-agency coordination and the absence of standardized response protocols, with coordination delays and a lack of standard procedures in responding to deepfakes. The resulting adaptive model emphasizes three key elements: speed of response across agencies, transparency of public communication, and policy updates based on continuous evaluation. The conclusion of the study emphasizes that the synergy of the government and the media is the main key tobuilding public information resilience. The implication is that this model can be used as an operational framework in strengthening digital crisis communication governance in the era of artificial intelligence.
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