Pith. sign in

REVIEW 3 cited by

Artificial Influence: An Analysis Of AI-Driven Persuasion

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2303.08721 v1 pith:CEZGSNBA submitted 2023-03-15 cs.CY cs.AIcs.CLcs.LG

Artificial Influence: An Analysis Of AI-Driven Persuasion

classification cs.CY cs.AIcs.CLcs.LG
keywords persuasionsystemspersuasiveai-drivenfuturealterartificialexamine
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
read the original abstract

Persuasion is a key aspect of what it means to be human, and is central to business, politics, and other endeavors. Advancements in artificial intelligence (AI) have produced AI systems that are capable of persuading humans to buy products, watch videos, click on search results, and more. Even systems that are not explicitly designed to persuade may do so in practice. In the future, increasingly anthropomorphic AI systems may form ongoing relationships with users, increasing their persuasive power. This paper investigates the uncertain future of persuasive AI systems. We examine ways that AI could qualitatively alter our relationship to and views regarding persuasion by shifting the balance of persuasive power, allowing personalized persuasion to be deployed at scale, powering misinformation campaigns, and changing the way humans can shape their own discourse. We consider ways AI-driven persuasion could differ from human-driven persuasion. We warn that ubiquitous highlypersuasive AI systems could alter our information environment so significantly so as to contribute to a loss of human control of our own future. In response, we examine several potential responses to AI-driven persuasion: prohibition, identification of AI agents, truthful AI, and legal remedies. We conclude that none of these solutions will be airtight, and that individuals and governments will need to take active steps to guard against the most pernicious effects of persuasive AI.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Artificial intelligence can persuade people to take political actions

    cs.CY 2026-04 unverdicted novelty 6.0

    AI can substantially increase real behaviors such as petition signing and charitable donations, but these effects do not correspond to changes in attitudes and are better achieved through behavioral strategies than at...

  2. Information Access of the Oppressed: Freirean Design for Emancipatory Information Access

    cs.CY 2026-01 unverdicted novelty 6.0

    Extends Freire's theories to critique technologist-user dynamics in IA and advocates Freirean Design for emancipatory platform co-construction by communities.

  3. An Overview of Catastrophic AI Risks

    cs.CY 2023-06 accept novelty 3.0

    The paper categorizes sources of catastrophic AI risks into malicious use, AI race, organizational risks, and rogue AIs, providing illustrative stories and mitigation suggestions for each.