Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Which AI Stock Has More Upside Right Now?

Nvidia’s Downgraded H20 Chips Might Not Be Enough to Stop China’s AI Ambitions

Getty Sues Stability AI Over Copyrighted Image Scraping

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Advanced AI News
Home » Love on the Mainframe: How AI Is Changing Online Dating
Partnership on AI

Love on the Mainframe: How AI Is Changing Online Dating

Advanced AI BotBy Advanced AI BotFebruary 13, 2025No Comments5 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Valentine’s Day is upon us, marking the celebration of love and relationships, many of which are now found online. With 30% of U.S. adults reporting using dating sites and apps, hopeful romantics continue their search for their “one true love” en masse. But will they get a match made in heaven? Or will statistical models and algorithms keep them yearning for more?

Online dating has changed how people all over the world connect and find partners. Now, advancements in AI are revolutionizing how people meet, communicate, and form connections. While AI can be used to help people find “the one,” the widespread availability of AI tools has also introduced a myriad of risks and harms to people on dating apps and sites; from catfishing to bots, AI has made it easier than ever to both fall in love and have your heart broken.

Online dating has come a long way since the days of boring static profiles. Some of the first mentions of online dating date back to 1959, when computer scientists used a five ton computer to match couples, a process which took up to three weeks. In the early 2000s, eHarmony was among the first companies to develop and use a matching algorithm to pair users with compatible partners. Not long after, other companies started offering algorithmic matchmaking to users based on what they were looking for. Widespread use of AI has made matchmaking more instantaneous; with a swipe of your finger you can find people near and around your area with similar interests, strike up instant conversations, and form deep meaningful relationships without ever meeting IRL.

According to a 2022 study, three in ten adults have used dating apps in the U.S, many of whom reported troubles related to scams and harassment. Dating online can be difficult, especially with a large and competitive dating pool. Many users have turned to generative AI to give them an advantage, using tools like ChatGPT to improve their profiles, enhance images, and even write messages for them. Some companies, such as the now defunct Volar, have gone as far as developing avatars that date for you. Although this new way of online dating may make users think that their perfect match is just a button away, many people are still vulnerable to the risks and harms AI is posing to users.

One of the biggest pitfalls of online dating in the age of AI is its role in enabling catfishing. Catfishing is the act of setting up a fake online identity and using that identity to trick or scam people. With the help of AI, creating a fake profile is just a few clicks away. AI tools can be used to create synthetic media such as hyper-realistic images and deepfake video or audio. People have even created bots that look and talk like real people in order to scam users out of money. As if dating was not hard enough, users now have to navigate their romantic interactions with suspicion and distrust.

While AI is used to enable catfishing it can also be used to combat it. Companies such as Bumble have committed to combating catfishing through the use of verification processes. In 2024, Bumble published a case study exploring how they implemented PAI’s Synthetic Media Framework, a shared set of values, recommendations, and best practices to help builders of AI technology as well as creators and distributors of synthetic content utilize AI tools responsibly. The case study focuses on the Photo Verification process that Bumble developed in 2016 which uses AI to compare a user’s profile pictures with a selfie that the user is prompted to take and submit. Verification tools like these, which help ensure an actual person is behind a profile, can help companies keep users safe from catfishing.

Although companies are working hard to combat catfishing, synthetic content is increasingly harder to detect. That is why it is important for users to understand how they can stay safe while online dating.

Online dating is hard enough without having to worry about scammers. Here are some tips for staying safe:

Look for generic profiles and unnaturally perfect photos.
Verify someone is who they say they are with video calls, or in-person meetings.
Reverse image search a user’s images to verify authenticity.
Do not send user’s money or provide them with personal documents.
If this love seems too good to be true, it probably is!

As AI continues to shape the world we live in, it also introduces new risks and harms that we must be wary of. This Valentine’s Day is not only a day to celebrate love and connection but also an opportunity to learn how to navigate the changing landscape of online dating in the age of AI. To stay up to date on our work in building responsible AI systems and policies sign up for our newsletter.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleAI Now Co-ED Sarah Myers West Delivers Keynote Address at the Forum on AI and Sustainability
Next Article Silicon Valley’s Next Act: Bringing ‘Vibe Coding’ to the World
Advanced AI Bot
  • Website

Related Posts

Dad 2.0: Five Ways AI Can Upgrade Fatherhood

June 12, 2025

Tech Industry Leaders Can Shape Responsible AI Beyond Model Deployment

May 15, 2025

Can AI Apps Help Carry the Mental Load for Moms?

May 8, 2025
Leave A Reply Cancel Reply

Latest Posts

Roger Director’s New Novel Is Killing In Havana

Zegna’s SS ‘26 Dubai Show Is A Vision For A Slow, Quiet Luxury Legacy

Love At First Stitch – One Woman’s Journey Preserving The Art Of Ralli

Los Angeles’ ‘No Kings’ Rally Showcases Handmade Protest Art

Latest Posts

Which AI Stock Has More Upside Right Now?

June 15, 2025

Nvidia’s Downgraded H20 Chips Might Not Be Enough to Stop China’s AI Ambitions

June 15, 2025

Getty Sues Stability AI Over Copyrighted Image Scraping

June 15, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.