First, let’s clarify that prejudice is a consciously-held bias against others based on gender, race, religion, or other factors. As for our little quiz, “I” statements may work best in responding to people not even aware that they have a bias problem. The reason is that telling these people how their bias impacts you personally, as a victim of bias, increases their awareness, and makes them take responsibility for the bias rather than (falsely) attribute that bias to others. A “You” statement is a way to get bullies who are being mean-spirited and exercising power to back off – in very personal terms. You’re fighting power with the power that your response will have consequences for the bully in question. That leaves an “it” statement as your best tool in countering prejudice because you’re dealing with a fixed attitude, a bias or essentially, an unmovable object that must be called out objectively for what it is: a cancerous problem.
Released today: episode #52 of “Dan Hill’s EQ Spotlight,” featuring Kim Scott, the author of Just Work: Get Sh*t Done, Fast & Fearand her business partner, Trier Bryant. Check out the audio link below to get oriented or click here to get to the new episode.
Kim Scott and Trier Morgan co-founded the company Just Work to help organization and individuals crate more equitable workplaces. Scott was previously a CEO coach at Dropbox, Qualtrics, Twitter, and other tech companies. She’s been on the faculty at Apple University and led various teams at Google.
Your career and future employability will depend on how you add value in a world where AI (artificial intelligence) + HI (human intelligence) are converging. Reading faces (facial coding), voices (e.g., Apple’s Siri) and bodies (via Fitbit) fit a world in which your emotional intelligence skills will be vital.
Here are some signposts of the basic socio-economic change underway from a thinking to feeling model:
1987: FCC repeals Fairness Doctrine, opening the way for Rush Limbaugh; Fox News will launch in 1996
1995: Daniel Goleman publishes Emotional Intelligence
1997: Big Blue (IBM) defeats world chess champion Garry Kasparov; emojisfirst appear in Japanese mobile phones
1998: launch of Google & also Sensory Logic (my company, using facial coding to capture/quantify emotions)
2001: release of Stephen Spielberg movie AI Artificial Intelligence
2007: Fitbit launches; I release my book Emotionomics
2009: Lie to Me TV series based on facial coding launches on Fox (#29 most-viewed show that season); Affectiva and Realeyes switch to applying (automated) facial coding to business in imitation of Sensory Logic
2011: launch of the 1st digital assistant, Apple’s Siri
2014: SoftBank Robotic’s Pepperis 1st social humanoid robot
2016: Apple buys Emotient, the original facial coding automation company
2017: Female robot Sophia named an AI citizen in Saudi Arabia
Huang Ming-Hui Huang holds a number of posts. She’s a Distinguished Professor at National Taiwan University; a fellow of the European Marketing Academy (EMAC); an International Research Fellow of the Centre for Corporate Reputation, University of Oxford, UK; and a Distinguished Research Fellow of the Center for Excellence in Service, University of Maryland, USA. She is also the incoming Editor-in-Chief of the Journal of Service Research.
Yesterday these four tech executives testified via video chat before the antitrust committee of the U.S. House of Representatives’ Judiciary Committee. If you’re a Christian steeped in the Bible’s book of Revelation, their joint appearance might suggest to you The Four Horsemen of the Apocalypse: riders symbolizing pestilence, war, famine, and death. As a consumer or a woebegone business competitor of these four executives, however, you’re more likely to be wondering: who will ever restore our TRUST in antitrust enforcement?
From left to right, you’re viewing three household names and a fourth, Sundar Pichai, who now runs Alphabet (i.e. Google). What do Mark Zuckerberg of Facebook, Jeff Bezos of Amazon, Tim Cook of Apple, and Pichai have in common in these four photographs atop Wednesday’s New York Times article about the pending hearing? The answer is eyes wide open, as if the four men are alert to seizing on new opportunities as they operate de facto monopolies, or at least duopolies, in domains like online search, online marketplaces, app stores, and advertising sales.
Have unfair, even illegal acts been committed by these tech giants? That’s for Congress and federal prosecutors to decide. Much clearer is that the FBI estimates losses from white-collar crime of between $300 to $600 billion annually. In contrast, the total is $4 billion a year for the blue-collar crimes of burglary and robberies. Don’t waste your energy; you needn’t guess which type of crime has the higher conviction rate.
On Economic Mobility & Learning Capacity
This week’s podcast episode concerns the story of a 150-pound, high school viola player jumped by three plain-clothes police officers who found him “suspicious looking.” Yes, an innocent black kid living in Homewood, a downtrodden neighborhood in Pittsburgh founded by Andrew Carnegie long, long ago, is a far cry from the wealth being generated in Silicon Valley. In today’s video, I briefly address why eyes wide open – curiosity – learning capacity – is emerging as the key to success in life.
Released today: episode #12 of Dan Hill’s EQ Spotlight podcast series, featuring David A. Harris, the author of A City Divided: Race, Fear and the Law in Police Confrontations. Listen to the clip below and click on the image to get to the new episode that appears on the world’s largest book podcast with over 1.2 million downloads monthly.
How do we move police forces from a warrior culture to connecting better with communities they serve?
Harris is a professor at the University of Pittsburgh’s law school and is the leading U.S. authority on racial profiling. In addition to also being the author of Profiles in Injustice (2002). Harris hosts the podcast Criminal Injustice.
Topics covered in this episode include:
Harris’s vantage point on what the Minnesota legislature got right and only half-right in recently approving a police accountability measure in the wake of the George Floyd killing.
Why navigating fear and anger is so hard for both black suspects and the police alike.
What role a lack of familiarity – and trust – plays for officers and suspects in trying to avoid escalating their encounters.