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Explore AI generated designs, images, art and prompts by top community artists and designers.
Fairness means ensuring your analysis doesn't create or reinforce bias. This can be challenging , but if the analysis is not objective , the conclusions can be misleading and even harmful. In this reading , you’re going to explore some best practices you can use to guide your work toward a more fair analysis! Consider fairness Following are some strategies that support fair analysis: Best practice Explanation Example Consider all of the available data Part of your job as a data analyst is to determine what data is going to be useful for your analysis. Often there will be data that isn’t relevant to what you’re focusing on or doesn’t seem to align with your expectations. But you can’t just ignore it; it’s critical to consider all of the available data so that your analysis reflects the truth and not just your own expectations. A state’s Department of Transportation is interested in measuring traffic patterns on holidays. At first , they only include metrics related to traffic volumes and the fact that the days are holidays. But the data team realizes they failed to consider how weather on these holidays might also affect traffic volumes. Considering this additional data helps them gain more complete insights. Identify surrounding factors As you’ll learn throughout these courses , context is key for you and your stakeholders to understand the final conclusions of any analysis. Similar to considering all of the data , you also must understand surrounding factors that could influence the insights you’re gaining. A human resources department wants to better plan for employee vacation time in order to anticipate staffing needs. HR uses a list of national bank holidays as a key part of the data-gathering process. But they fail to consider important holidays that aren’t on the bank calendar , which introduces bias against employees who celebrate them. It also gives HR less useful results because bank holidays may not necessarily apply to their actual employee population. Include self-reported data Self-reporting is a data collection technique where participants provide information about themselves. Self-reported data can be a great way to introduce fairness in your data collection process. People bring conscious and unconscious bias to their observations about the world , including about other people. Using self-reporting methods to collect data can help avoid these observer biases. Additionally , separating self-reported data from other data you collect provides important context to your conclusions! A data analyst is working on a project for a brick-and-mortar retailer. Their goal is to learn more about their customer base. This data analyst knows they need to consider fairness when they collect data; they decide to create a survey so that customers can self-report information about themselves. By doing that , they avoid bias that might be introduced with other demographic data collection methods. For example , if they had sales associates report their observations about customers , they might introduce any unconscious bias the employees had to the data. Use oversampling effectively When collecting data about a population , it’s important to be aware of the actual makeup of that population. Sometimes , oversampling can help you represent groups in that population that otherwise wouldn’t be represented fairly. Oversampling is the process of increasing the sample size of nondominant groups in a population. This can help you better represent them and address imbalanced datasets. A fitness company is releasing new digital content for users of their equipment. They are interested in designing content that appeals to different users , knowing that different people may interact with their equipment in different ways. For example , part of their user-base is age 70 or older. In order to represent these users , they oversample them in their data. That way , decisions they make about their fitness content will be more inclusive. Think about fairness from beginning to end To ensure that your analysis and final conclusions are fair , be sure to consider fairness from the earliest stages of a project to when you act on the data insights. This means that data collection , cleaning , processing , and analysis are all performed with fairness in mind. A data team kicks off a project by including fairness measures in their data-collection process. These measures include oversampling their population and using self-reported data. However , they fail to inform stakeholders about these measures during the presentation. As a result , stakeholders leave with skewed understandings of the data. Learning from this experience , they add key information about fairness considerations to future stakeholder presentations. ,
Create an image of a young boy standing in front of a broken mirror in a dimly lit , worn-down room. The boy wears tattered clothes and has a somber expression , his surroundings reflecting poverty and struggle. However , in the shattered fragments of the mirror , a different world is visible—his reflection shows a hopeful future: a well-dressed version of himself in a bright , successful environment , perhaps wearing a graduation gown or working in a dream career. The contrast between his reality and the dreamlike reflection should be striking , emphasizing his longing and the barriers created by poverty. ,
The most enchanting , mystical lighthouse in the world , photorealistic and surrounded by a violently stormy sea. Against a thunder and lightening sky , 3d render , colorful , highly detailed , insane resolution , 8k , illustration , ink , pixar , bright , photorealistic , future , insanely detailed and intricate , unreal engine , smooth , zoomed-out , hyperrealistic ,
future city , high buildings , modern trains , flying cars , neon light , , 16-bit , Fantasy , Realistic , Photo , Watercolor , Dramatic , Cinematic , HD , Electric Colors , Neon , 3D Model , 3D Render , Modern Art , Impressionistic , by Greg Rutkowski , 3Ds Max Model , Unreal Engine ,
painting of aston martin , ev , electric , car design , photography , automotive design , car design , concept car , 4k , concept , future , colorful , neon , fantasy , dramatic lighting , digital painting , holding energy , hyper detailed , hyper realistic detailed , peter mohrbacher , wlop , ruan jia ,
painting of alfa romeo , race car , convertible , speedster , spyder , car design , photography , automotive design , car design , concept car , 4k , concept , future , colorful , neon , fantasy , dramatic lighting , digital painting , holding energy , hyper detailed , hyper realistic detailed , peter mohrbacher , wlop , ruan jia ,
Alice in Borderland /// 3d render of highly detailed portrait of japanese male Ryohei Arisu with tousled hair wearing dirt white tee shirt , dystopian future , detailed blood skin , face closeup , light refraction , realistic , 8K , hdr , subsurface scattering , global illumination , bokeh , octane , Film-like , Alice in Borderland style ,
Bringing together creativity , technology and sustainability , the Universidad Central de Venezuela is a modern-day oasis for aspiring designers. Designed by world-renowned architect Gaudi , this campus serves as a source of inspiration and a hub for innovation. Embracing the rich cultural heritage of Caracas while embracing cutting-edge design practices , the UCV campus is a vibrant and dynamic space that fosters collaboration and growth. From textiles and product design to graphics and animation , students here are empowered to turn their artistic visions into tangible realities. Join us in this unique artistic journey and become a part of the design revolution that is shaping India's future.Zaha Hadid Architects thesis level design art and culture elements , 3D acadamic block hostel blocks oat landscape parking canteen sports complex interior view tree concept , cluster form , fuctional spaces , design evolution ,
painting of ferrari , ev , electric , suv , car design , photography , automotive design , mountain road , clear sky , car design , concept car , 4k , mountain roads , concept , future , colorful , neon , fantasy , dramatic lighting , digital painting , holding energy , hyper detailed , hyper realistic detailed , peter mohrbacher , wlop , ruan jia ,
mdjrny-v4 style , Model wearing Dior , Louis Vuitton hood , symmetric medium shot , product photography , alive feeling , natural skin , hypermaximalist focus , dutch angle , ultra realist , hight fashion , Louis XIV , antic future , intricate , sharps German design , shot on pro Nikon , very low angle , forced perspective , 8k , lifelike , cinematic atmosphere , luxury , elite , dynamique lighting , complementary colors , by Tarun Khiwal , shot on Hasselblad , shot on Sony by Tarun Khiwal and glen luchford ,
painting of porsche , ev , electric , suv , car design , photography , automotive design , car design , concept car , 4k , mountain roads , concept , future , colorful , neon , fantasy , dramatic lighting , digital painting , holding energy , hyper detailed , hyper realistic detailed , peter mohrbacher , wlop , ruan jia ,
Strixhaven school for gifted magical beings , white straight hair , japanese garden background , ( in future shibuya japan night ) , beautiful and aesthetic shape of face and body , in an abandoned car lot overgrown , renaissance , she flies by using blue neon powers through the city. Cinematic sunset , glowing lights!! sci-fi , disgusting ,
ferrari concept car , car design , photography , automotive design , front view , 4k , concept , future , neon , dramatic lighting , hyper realistic detailed , ,
digital painting of bmw i8 mclaren p1 , spyder , convertible , speedster , car design , automotive design , car design , concept car , 4k , concept , future , colorful , neon , fantasy , dramatic lighting , holding energy , hyper detailed , peter mohrbacher , wlop , ruan jia ,