Online censorship / monitoring / hate speech / dark web / restricted content has always been a point of discussion vs privacy concerns.
Privacy - There is no such 100% privacy in internet. Your social media, browsing pattern, buying pattern everything is somewhere stored in bits and bytes. Our deep desires, searches, keywords everything is ingrained in the web
Web Addiction - A lot of young population life goes around in web for games / social media / whatsapp / facebook / instagram. However educational content is available from many MOOC courses. Still the hours spent on non-productive things are way too much compared to efforts and hours spent.
Free Data / Low cost Smartphones - Almost every household and every member has a smart phone. Tons of apps, videos, dub-smash, social media a lot of time spent only on internet. Our social circle is limited only to our mobile phones
Data Consumption vs Productivity - From the volume of Data consumed / Time spent Vs positive Impact on the person. Duplication of News, Likes of events / actions, Discussions / Debates. Emotional wellness how much does it help to have a positive impact. There is no central monitor to alert / recommend / supervise our actions. We are responsible for our lives.
AI could potentially monitor / recommend / alert
- Recommendations for Children
- Recommendation based on Gender
- Recommendation based on Criminal Background
- Censorship based on browsing history (Alert proactively)
- Excess usage / Depression / Suicide Tendency Detection
- Emotional Wellness Monitor
- Abuse Detection and Prevention
What we achieve depends on what we do today. AI could effectively applied for Internet Censorship and Monitoring
More Read - How a Discriminatory Algorithm Wrongly Accused Thousands of Families of Fraud
This needs a lot of #opensource #crowdsource data, central monitoring, #datalabelling, #NLP, #Video Analytics to arrive at use cases / monitoring.
#Mythoughts
This needs a lot of #opensource #crowdsource data, central monitoring, #datalabelling, #NLP, #Video Analytics to arrive at use cases / monitoring.
#Mythoughts
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