Big Data News Hubb
Advertisement
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
Big Data News Hubb
No Result
View All Result
Home Big Data

AI-generated Texts Could Increase People’s Exposure to Threats

admin by admin
January 11, 2023
in Big Data


Nearly universal access to models that deliver human-sounding text in seconds presents a turning point in human history, according to new research from WithSecure™ (formerly known as F-Secure Business).

The research details a series of experiments conducted using GPT-3 (Generative Pre-trained Transformer 3)–language models that use machine learning to generate text.

The experiments used prompt engineering–a concept related to large language models that involves discovering inputs that yield desirable or useful results–to produce a variety of content the researchers deemed harmful.

Numerous experiments assessed how changes in inputs to the current available models affected the synthetic text output. The goal was to identify how AI-language generation can be misused through malicious and creative prompt engineering, in hopes that the research could be used to direct the creation of safer large language models in the future.

The experiments covered phishing and spear-phishing, harassment, social validation for scams, the appropriation of a written style, the creation of deliberately divisive opinions, using the models to create prompts for malicious text, and fake news.

“The fact that anyone with an internet connection can now access powerful large language models has one very practical consequence: it’s now reasonable to assume any new communication you receive may have been written with the help of a robot,” said WithSecure Intelligence Researcher Andy Patel, who spearheaded the research. “Going forward, AI’s use to generate both harmful and useful content will require detection strategies capable of understanding the meaning and purpose of written content.”

The responses from the models in these use cases along with the general development of GPT-3 models led the researchers to several conclusions, including (but not limited to):

  • Prompt engineering will develop as a discipline, as will malicious prompt creation.
  • Adversaries will develop capabilities enabled by large language models in unpredictable ways.
  • Identifying malicious or abusive content will become more difficult for platform providers.
  • Large language models already give criminals the ability to make any targeted communication as part of an attack more effective.

“We began this research before ChatGPT made GPT-3 technology available to everyone,” Patel said. “This development increased our urgency and efforts. Because, to some degree, we are all Blade Runners now, trying to figure out if the intelligence we’re dealing with is ‘real,’ or artificial.”

The full research is now available HERE.

This work was supported by CC-DRIVER, a project funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 883543.

Sign up for the free insideBIGDATA newsletter.

Join us on Twitter: https://twitter.com/InsideBigData1

Join us on LinkedIn: https://www.linkedin.com/company/insidebigdata/

Join us on Facebook: https://www.facebook.com/insideBIGDATANOW





Source link

Previous Post

How BookMyShow saved 80% in costs by migrating to an AWS modern data architecture

Next Post

#Clouderalife Volunteer Spotlight: Barry Laide

Next Post

#Clouderalife Volunteer Spotlight: Barry Laide

Recommended

Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

January 8, 2023

Simplify data loading on the Amazon Redshift console with Informatica Data Loader

November 30, 2022

Deploy DataHub using AWS managed services and ingest metadata from AWS Glue and Amazon Redshift – Part 1

October 30, 2022

Don't miss it

News

Stormy Skies Ahead? Report Finds 20% of Businesses Intend to Move Workloads From Cloud to On-Prem

February 5, 2023
Big Data

An Introduction to Disaster Recovery with the Cloudera Data Platform

February 4, 2023
Big Data

Comet Announces Convergence 2023, the Leading Conference to Explore the New Frontiers of Machine Learning

February 4, 2023
Big Data

Design Patterns for Batch Processing in Financial Services

February 4, 2023
News

AWS Lake Formation 2022 year in review

February 4, 2023
News

Data Mesh Creator Takes Next Data Step

February 4, 2023

big-data-footer-white

© 2022 Big Data News Hubb All rights reserved.

Use of these names, logos, and brands does not imply endorsement unless specified. By using this site, you agree to the Privacy Policy and Terms & Conditions.

Navigate Site

  • Home
  • Big Data
  • News
  • Contact us

Newsletter Sign Up

No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us

© 2022 Big Data News Hubb All rights reserved.