SAVE THE DATE: UTC - MUMBAI 2022 - feminist cities for a sustainable future
Red Dot Foundation would like to invite you to join the Urban Thinkers Campus and jointly develop recommendations for a Feminist City with a Sustainable Future.
The Urban Thinkers Campus (UTC) is a format by the UN-Habitat under the World Urban Campaign. It is meant to be a place to share, learn and define the way forward through individual and joined commitments to implement the New Urban Agenda (NUA). The format of the Campus is flexible, based on open facilitated sessions, allowing a high level of interaction. All participants have equal opportunities to voice their views, ideas, and commitment to supporting their vision toward action. This UTC is in collaboration with UN-Habitat, UNICEF Maharashtra, Rotary Club of Bombay West, GIZ, The Urban Vision, Developmatrix, NIUA, Kubernein Initiative, and Aga Khan Agency for Habitat. Over the course of two days - 28 and 29 Sep, we will deep dive into various topics on creating a feminist (equal and inclusive) city. We will have the following working sessions Learning Lab - City Work Tools to localize SDGs by GIZ Learning Lab - Creating a Feminist Policy by Kubernein Initiative Roundtables on
Youth-friendly city led by UNICEF Maharashtra
Building Community Resilience for Climate Action by Aga Khan Agency for Habitat India
Designing Urban Infrastructure for safer cities by Red Dot Foundation & The Urban Vision
Engendering Waste Management by Developmatrix
Together we will deep dive into the issues, and challenges and develop practical recommendations for implementing bodies and make commitments at the individual level for the achievement of SDGs. All recommendations and commitments will be documented on the World Urban Campaign website. Please note that all the information collected in this survey is protected under the Red Dot Foundation Privacy Policy read with Section 43 (A) of the Information Technology Act, 2000.
More information: Bit.ly/UTCMumbai2022
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I spend a lot of time testing AI tools, and one thing I've learned recently is that image generation quality is improving much faster than most people realize.
Some AI-generated photos now look more realistic than heavily edited real photos.
I built ImageAIChecker as a side project to explore this problem and help people better understand what they're looking at.
Would love to hear where people think AI image detection is heading next.
https://imageaichecker.com/
I've been comparing real voice recordings with AI-generated ones over the past few weeks.
Honestly, some of them are nearly impossible to distinguish without looking more closely at the audio patterns.
I put together a small tool while experimenting with this:
https://voiceaichecker.com/
Would be interested to know how often people can correctly guess whether a clip is human or AI.