投稿時間:2023-03-18 11:15:17 RSSフィード2023-03-18 11:00 分まとめ(14件)

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IT	気になる、記になる…	Anker、10ポート搭載の新型USB-Cハブ｢Anker 364 USB-C ハブ (10-in-1, Dual 4K HDMI)｣を発売	https://taisy0.com/2023/03/18/169722.html	indualkhd	2023-03-18 01:16:40
IT	気になる、記になる…	Google、｢Google マップ｣のWeb版で最近見た場所に簡単にアクセス出来るサイドバーをテスト中	https://taisy0.com/2023/03/18/169718.html	google	2023-03-18 01:05:30
ROBOT	ロボスタ	【動画】スマホだけであらゆる家電や照明を操作するMatter対応スマートホームの未来!? スマートリモコン「SwitchBotハブ2」4,800社以上の製品に対応	https://robotstart.info/2023/03/18/switchbothub2-onsale-matter.html		2023-03-18 01:00:07
TECH	Techable（テッカブル）	来店アンケートをAI-OCRで読み取り電子化！中古車販売管理アプリに新機能	https://techable.jp/archives/200387	aiocr	2023-03-18 01:00:14
Ruby	Rubyタグが付けられた新着投稿 - Qiita	【Ruby on Rails】link_toメソッドで画像と文字にまとめてリンクを貼る	https://qiita.com/sekkey_777/items/a2b6683ec44cc40038fc	linkto	2023-03-18 10:41:36
Ruby	Rubyタグが付けられた新着投稿 - Qiita	プロフィールページ作成⑨	https://qiita.com/RikutoMatsumoto/items/cd861c81a21a22aba986	awsazure	2023-03-18 10:19:30
Azure	Azureタグが付けられた新着投稿 - Qiita	App Service on Linux Node runtime における GitHub Actions デプロイ時間を短縮する工夫	https://qiita.com/georgeOsdDev@github/items/f6757afc46b6fc5566bb	itemsaaabaaadfhttpsqii	2023-03-18 10:06:51
Ruby	Railsタグが付けられた新着投稿 - Qiita	【Ruby on Rails】link_toメソッドで画像と文字にまとめてリンクを貼る	https://qiita.com/sekkey_777/items/a2b6683ec44cc40038fc	linkto	2023-03-18 10:41:36
Ruby	Railsタグが付けられた新着投稿 - Qiita	プロフィールページ作成⑨	https://qiita.com/RikutoMatsumoto/items/cd861c81a21a22aba986	awsazure	2023-03-18 10:19:30
技術ブログ	Developers.IO	[Tableau 2023.1新機能]Snowflake接続時に異なるデータベース上のテーブルをJOINできるようになりました	https://dev.classmethod.jp/articles/tableau-snowflake-cross-database-join/	snowflake	2023-03-18 01:47:17
海外TECH	DEV Community	What I'd like to see AI used for - women's month edition	https://dev.to/sylwiavargas/what-id-like-to-see-ai-used-for-womens-month-edition-5768	What I x d like to see AI used for women x s month edition this blog post is a part of a DEV celebration of the annual wecoded campaign earlier known as shecoded As I m nearing my fourth year in tech I see the same discussions happen over and over again around gender in tech and I m tired Instead of sighing about how this tech reality is hard at times I turned the reasons for my fatigue into ideas for your next generation AI app Salary negotiationContrary to common belief women are equally as good or bad actually as men in salary negotiation that is when they actually negotiate Sadly a number of factors can impact a woman s willingness to negotiate an offer including how the job description is written When jobs advertisements contained female threatening language women lowered their salary minimums compared to when jobs were described in a female supportive way whereas men were unaffected If women have lower aspirations they may feel less motivation to negotiate and simply accept the first offer Consistent with my own experience another study found that women are especially good at negotiation when advocating for the salary of others Our research suggests that women perform better when negotiating on behalf of others than they do when negotiating for themselves no such difference emerges among male negotiators Female executives negotiating as the mentor secured compensation that was percent higher than the compensation female executives negotiated when they were playing the candidate Meanwhile male executives performed consistently across both roles at the level of female executives negotiating as the candidate It s not that our female participants felt less entitled to a good salary Nor were women more or less competent at the negotiation itself Rather it appears that the women executives were particularly energized when they felt a sense of responsibility to represent another person s interests ️Here are some ideas for what AI could do a real time salary negotiation assistant that will provide the applicant with the pep talk sound bites and arguments for a successful negotiationestimating what folks at a given salary might be making not only via Glassdoor or Blind and what the candidate s skillset and experience is and based on that suggests acceptable salary ranges for HR scanning job descriptions for gender triggers and suggesting alternatives for candidates an extension that replaces gender triggers in job description with gender neutral language At workAm I really writing a section about gender at work Well let me just mention five things my friends and I noticed this past year I see a lot of my amazing female friends partake in glue work either voluntarily or because they are expected to I have watched too many sessions where men talk a lot and engage in killgissa and mansplaining in conversations with renown women or a non binary folks who happen to be experts on the subjectI also have heard my share of well actually s and seen loads of passive aggressive nit picky PR reviews that my female friends share with me to ask for a sanity check I read a lot about that performance reviews for women focus mostly on their personality and men on their work the same study found that men are so much more likely to be called genius or brilliant and women to be called overachievers I see so many people having no problem remembering names of obscure retro games a whole lineages of elves in some books or the s niche bands but that amazing memory fails them in case of personal pronouns️Here are some ideas for what AI could do a Notion Confluence Asana extension that shows stats for glue work for different team membersa Zoom app that measures air time including air time spent on just taking space EDIT I heard that Vowel does that already Awesome in case you don t want to reinvent the wheel an extension that scans a performance review to show gendered biasesan app that scans all performance reviews from the company for a given year to make sure that the same metrics are used for all folks at given a level role teamgrammarly but for correct pronounsa Slack app that not only checks for exclusionary language but also reminds you to use the correct pronouns before you even send the message even if you can t retain that knowledge at least you don t create a situation that s awkward at best and damaging at worst Tech conferences meetups steams events twitterTime and time again we as a tech community learn about conferences offering unequal perks and payment for talks to different speakers We ve also seen numerous conferences that completely forgot that there are plenty experts in tech who are women and non binary people To alleviate that it happens frequently women oftentimes experts themselves are moderators in an all male panel ️Here are some ideas for what AI could do create a list of women and non binary speakers together with examples of most recent talks and contact infocreate a list of male experts to moderate panels featuring women and non binary expertsfetch a list of male tech community leaders who could deliver talks on the value of empathy collaboration inclusivity team culturefind out if a male speaker you re considering is known to talk about gender equality so you can ask him to mentor a first time speaker who is a woman or a non binary personget a report on whether your tech event location might be dangerous for any minority such as LGBTQIAP folks in UAE or trans folks in many US stated for male community tech leaders who state allyship with women and non binary folks checking stats on who you are retweeting quote tweeting positively and liking it s really no longer enough to just say you support women trans women and non binary folks but in the times of wild twitter algorithms for some and life threatening trans hatred for others you just gotta amplify their voices and recommend them as experts SurveysFor at least as long as I have been in tech the State of JS and State of CSS surveys have been not only doing a poor job when it comes to survey design data collection and analysis they also have done a lot of damage for women in tech For context the survey consistently gets only around of responses from women and non binary folks and year after year there s some discussion around it There s a lot I could say about the survey given that I taught research methods for two years as a part of my PhD in Sociology For example the presentation of the data on most popular community leaders does not factor the gender of the responders resulting in an impression that that is the ultimate list of who s who in the JS ecosystem and it features only four women But not if you adjust the data for demographics then you d already see women creators there And if the survey actually collects more responses from women and non binary respondents the list will be only more diverse But the survey design flaws are less important than its outcomes I don t think there s any data on the actual consequences so for now three anecdotes from my experience need to suffice A male friend lamented how he can t get any women into the hiring pipeline but then again there are fewer than of women in the web dev A conference organizer pondered if there s even any point in diversity efforts with regards to the lineup A few women streamers or community leaders were disheartened by not making it to the Top list of the survey The organizers say they sent dozens emails to women in tech organizations and heard almost no responses This sounds almost incredible given how easy it is to get a response for a project like that Was there a problem with how the emails were written Maybe when they were sent Why emails anyway Why not a DM on Twitter or an intro through a friend Weirdly enough none of my six community organizer friends received such an email nor did I found one in my inbox even though I have been a co organizer of a React community for women and non binary folks for the past four years and even though I myself offered such help for example here on DEV It s really odd because I have seen Sacha Greif the main author of the survey advocate vehemently for women trans folks and all other minorities and I actually do trust that his intentions are good ️Here are some ideas for AI to fix it following the advice from the Sociology handbooks and research findings evaluate the survey before it is released from the perspective of research method design with special emphasis on potential biases not only gender OR being given the goals of the survey design one in reference to the advice from the Sociology handbooks and research findingsgiven the scope of the survey JavaScript ecosystem define the representative sample making sure it is statistically significant as well as the sampling methodgenerate ideas for tweets toots blog posts Discord and Slack messages that the organizers can post in various communities when asking for helphaving received responses assign a correct weight to respondents in representing the datascan the final report for inaccuracies and include context information Is a better world possible with AI As much as I d love to believe the opposite was true AI is just an extension of the biases of its creators For example earlier in this post I mentioned performance reviews in fact ChatGPT writes longer and harsher performance reviews when it assumes that the employee is a woman It views nurse receptionist kindergarten teacher as women mechanic as a man banker and engineer as men or neutral Here s also a tweet about ChatGPT recommendation letters male name reports spotty attendance but very bright with female name we hear about their kindness amp empathy and the children they tutored All the above app ideas could and should be done not by AI but by a human if only the humans in questions cared more were more self aware and possibly less exhausted here I m giving a benefit of a doubt to everyone who is well meaning but has only so many spoons For example I spoke about better conference lineups if you are curious about how to design one read this great writeup about DevOps Days authored by Bridget Kromhout And before you actually go and design a next AI driven app that will change the world see if the change will be for better AI has been designed with huge biases and it goes majorly unchallenged ️If you d like to learn more about the biases of AI follow Timnit Gebru who runs Distributed AI Research InstituteKestral Gaian who teaches ethics at London Interdisciplinary SchoolSafiya Umoja Noble who wrote Algorithms of Oppression Cover photo was designed by DALLE with a prompt if gender equality was a kaleidoscope image	2023-03-18 01:24:55
ニュース	BBC News - Home	France pension protests: Crowd clashes with police as government pushes through reform	https://www.bbc.co.uk/news/world-europe-64997414?at_medium=RSS&at_campaign=KARANGA	changes	2023-03-18 01:08:42
ニュース	Newsweek	元徴用工問題、「歴史問題は地雷畑、ユン大統領が無事帰還できるのか」と韓国の反応	https://www.newsweekjapan.jp/stories/world/2023/03/post-101136.php		2023-03-18 10:45:22
海外TECH	reddit	[Post Game Thread] #16 Fairleigh Dickinson defeats #1 Purdue, 63-58	https://www.reddit.com/r/CollegeBasketball/comments/11uaa55/post_game_thread_16_fairleigh_dickinson_defeats_1/	Post Game Thread Fairleigh Dickinson defeats Purdue Box Score Team H H Total Fairleigh Dickinson Purdue Index Thread for March submitted by u cbbBot to r CollegeBasketball link comments	2023-03-18 01:12:04