00:19:21 Orit Shaer: Here is the link to the CHI paper: 00:19:22 Orit Shaer: https://dl.acm.org/doi/pdf/10.1145/3313831.3376674?casa_token=FFgmadqFYAkAAAAA:0LCXlX4U4W_rKe_t33Dy4xHQLnT230P-l7Jxuw_9FatvGMQVg-h7lfHnn4_Rxr_49CCPZ4DHYwI 00:32:00 Orit Shaer: Questions? Type them here: 00:37:30 Savita Bailur: Hi everyone - really interesting, and loved the paper (as the authors know:)). In another paper, Nitya, you wrote on how people may try to "game" YouTube algorithms. What other examples might you have of these informal skills being learned? For example if grinding is not the right word, how do folks find what the right word might be? 00:39:30 Divya Bharathi: Many socio economically background people and even graduate students from many institutions are unaware of the technologies that could help them that is lack of information about gaining skills or searching jobs. How AI can help these people?? Also the educational institutions are lacking in teaching industry requirements? How can technology help educational institutions?? 00:39:36 Divy Thakkar: Thank you, Savita! Great Question! One important thing we found was -- since these systems didn't try to necessarily cater to needs -- they would frequently try to match textbook terms/text into search platforms to surface content. 00:41:28 Orit Shaer: Questions? 00:41:35 Savita Bailur: Thanks, Divy! Fascinating - community groups matter here too I guess. And a gender element too - "you should search for this term" 00:42:36 Shantanu Prabhat: Great work authors and really informative! I was wondering why UBI was seen as choice between work or UBI, and not work and UBI (the way other social welfare programs are seen as) 00:43:23 N Chandrasekhar Ramanujan: hi folks! I'm Chandra, and I'm a Masters student in HCI and Design currently working on my thesis. as part of said thesis, I'm working with gig work platforms and workers to see what are potential future technologies for them. one term which keeps popping up is "skilling" - interestingly, not to make them more effective in their current job, though that is a major reason, but to the workers, the process of acquiring new skills was seen as a way to move on to "better" things 00:43:57 N Chandrasekhar Ramanujan: my question here then is - from what I saw of your paper it applied to people enrolled currently in vocational ed programs 00:44:16 Savita Bailur: You might be interested in this Chandra https://dl.acm.org/doi/abs/10.1145/3392561.3394629 00:45:00 Alberta Ansah: What you think we can do to bridge the gap between the knowledge of automation and AI for vocational workers especially in cases where the workers who are advanced in age and have spent many years working with a particular machine or in a particular industry which may be automated? 00:47:15 Neil Gaikwad: Thanks for the great paper and super important work! Did you observe the specific evolution of peer support networks in vocational worker communities? In crowd/gig work, for example, there are diverse worker-led volunteer groups to support each other. 00:49:03 Andrew Kun: See video here: http://cs.wellesley.edu/~mobileoffice/conversations/ 00:49:23 Andrew Kun: ^^ All conversation recordings, including with Dr. Raffaella Sadun 00:49:57 N Chandrasekhar Ramanujan: thank you for the response and the resources! 00:51:20 Sukrit Venkatagiri: How do you think these vocational workers can learn more transferrable skills? E.g., Ghost Work (http://ghostwork.info/) Mary Gray and Sid Suri talk about the value of a liberal arts education and critical thinking for gig workers, and how this can help them better navigate the changing nature of gig work. 00:53:23 Savita Bailur: Companies are also starting to do this https://learn.fiverr.com/ 00:53:41 Savita Bailur: But have another bias of who teaches these skills 01:00:23 Neha Kumar: Neil: We also looked at this in the case of Uber in Bangladesh and Airbnb in Atlanta (as I mentioned). 01:00:46 Neha Kumar: Uber: https://dl.acm.org/doi/10.1145/3274367 01:01:58 Divya Bharathi: Can the voice interface with regional language translation help these vocational workers?? 01:02:05 Neha Kumar: Airbnb: https://dl.acm.org/doi/10.1145/3359330 01:05:28 Savita Bailur: Great work, thank you! 01:05:28 Vas: Thanks all... great 01:06:17 Andrew Kun: http://cs.wellesley.edu/~mobileoffice/conversations/