From the World Economic Forum (Davos club) https://www.weforum.org/reports/diversity-equity-and-inclusion-4-0-a-toolkit-for-leaders-to-accelerate-social-progress-in-the-future-of-work http://www3.weforum.org/docs/WEF_NES_DEI4.0_Toolkit_2020.pdf Train and incentivize managers and employees to enhance inclusion and belonging in their daily interactions The Challenge: Dynamics within organizations might reduce the voice of employees from diverse backgrounds and affect their sense of belonging in the workplace. Tech-Enabled Solution: Expand employees’ soft skills in empathy by exposing them to other points of view and perspectives. For example: — Virtual and augmented reality tools provide behavioural training, experiential learning and bias awareness through scenario re-enactment, helping employees enhance their soft skills https://pic8.co/sh/D4s2Z0.jpeg ... https://pic8.co/sh/MENoUi.jpeg — Machine learning and natural language processing technologies capture, analyse and generate overviews of managers’ workplace communication within and across their team https://pic8.co/sh/9f6TAe.jpeg — Collaboration platforms incentivize divergent ideas and greater inclusion by design Examples of technology providers include: AllieBot, Balloonr, BeingVR, Cultivate, Equal Reality, Pluto, Planbox, Translator, Talespin, Vantage Point Conduct objective performance evaluations The Challenge: Managers might subconsciously apply inconsistent or biased criteria in performance assessment, evaluation and calibration, leading to negative consequences on pay and progression equity. Tech-Enabled Solution: Help structure performance and progression management by collecting recognition and reward data, analysing performance review language and selecting feedback networks. For example: — Machine learning applications suggest the most relevant colleagues to give performance feedback based on how, when and where people work and interact with one another within the organization https://pic8.co/sh/4ZIPgP.png — Natural language processing applications identify biased language in written performance reviews and highlight if a performance review does not match the ultimate performance rating — Machine learning algorithms analyse performance feedback data to identify key attributes of employees and measure differences by attributes such as gender or ethnicity, including highlighting tendencies to reward specific demographics more than others despite consistency in other attributes https://pic8.co/sh/ZHL5zt.png — Organizational network analysis tools help identify potentially “hidden” (i.e. less-networked) high-potential employees Examples of technology providers include: Culture Amp, Globoforce, Saba, SAP SuccessFactors, workhuman, Zugata ... And the shit goes on and on and on.... It's basically skynet in charge of forcing and brainwashing everybody into "diversity"