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Transparent design could teach people to trust AI


We are living in a world of data overload. From behavioral analytics to customer preferences, businesses now have so much data at their fingertips that they’re unable to process and consume all of it in a meaningful way. This is where the magic of machine learning comes in. When applied to massive internal company datasets, machine learning technology can derive important insights and provide actionable recommendations and predictions at superhuman scale.

But as automation, machine learning, and artificial intelligence technologies continue to show up in our daily experiences, more and more users are asking questions. How can I trust machine learning-based recommendations? How do I know this prediction is accurate? Will this machine take my job?


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As machine learning technology is still in its infancy, hesitations like these are valid. But machine learning, AI, and automation should be viewed as a benefit rather than a burden. In fact, Gartner recently predicted there will be 2 million new AI-related jobs created by 2020. The same report predicts AI will improve the productivity of many jobs and has the potential to enrich people’s careers, reimagine old tasks, and create new industries. However, for AI and machine learning to reach that point and make a meaningful impact, people need the opportunity to interact with the technology and learn to trust it over time.

The first step in building trust starts with the ways people experience the technology. Modern design needs to evolve to build user confidence through a graduated system of transparent recommendations and a partnership-like approach that leaves users in control. Just as it takes time to cultivate human relationships, relationship between humans and machines need to develop slowly. Here are three phases of design that will strengthen human confidence in machine learning, allowing it to reach its full potential.

Phase 1. Electing

The first step in building trust should highlight the smarts of machine learning while letting users retain full control of the outcome. Giving users the ability to review a variety of options and then control the final decision is an important first step in designing for a cohesive machine learning/user relationship.

One example of this kind of user design can be found in photo-tagging systems on social media apps like Instagram and Facebook. While the tool will make suggestions like “Click to tag this image as Jon Snow,” the user has control over who actually gets tagged in the photo. All technologies that use machine learning need to reflect this same level of transparency, putting people in control of the decision-making elements. This first phase is essential in allowing people to experience the benefits of machine learning while keeping them in the driver’s seat.

Phase 2. Learning

Once there’s been an opportunity to interact with the technology in a transparent way, the learning phase of the design experience can begin. In this phase of the photo-tagging example, machine learning can show off what it gathered from phase one, but apply it on a larger scale.

Here, a user might receive this prompt: “We found 15 photos of Jon Snow. Click to tag all photos.” While people may need to deselect one or two photos that were incorrectly identified as Jon Snow, this is machine learning’s way of, well… learning. Once users have experienced multiple interactions with the technology and made choices based on recommendations in the election phase, the technology will be able to learn from the input and update future recommendations accordingly. The learning phase allows users to see firsthand how the technology is responding and adjusting to their feedback.

Phase 3. Predicting

In this third phase, the technology will have built a pool of recorded and learned information from past interactions. Using this newly created repository of information, machine learning technology can contribute low risk, high confidence predictions and take associated actions. Going back to our photo tagging example, at this point in the design experience, the user will be asked for permission to tag all future photos of Jon Snow automatically. This phase of design automates low risk, everyday actions while still giving the end user final say.

Once users have experienced these three phases of design, a level of trust and transparency will have been established that gives machine learning the runway to truly take off. But training machine learning technology to be responsible for low risk, everyday tasks is only the beginning. As users increasingly trust machine learning technology, it can become a hugely beneficial tool that frees them up to focus on the most complicated projects while letting them make the high-impact business decisions that only a human can.

Linda Tong is vice president of innovation labs and product experience at AppDynamics, a company that connects app performance and customer experience
to business outcomes.

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About Ms. A. C. Kennedy

Ms. A. C. Kennedy
My name is Ms A C Kennedy and I am a Health practitioner and Consultant by day and a serial blogger by night. I luv family, life and learning new things. I especially luv learning how to improve my business. I also luv helping and sharing my information with others. Don't forget to ask me anything!

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The fall TV heavyweights are back, and this week that includes AMC's The Walking Dead, returning for season number eight. Sports fans can get ready for NBA action, while gamers can finally get a fresh taste of Gran Turismo. South Park's long-awaited game is finally arriving as well, while Spider-Man Homecoming tops the 4K Blu-ray list and Netflix premieres season two of Miranda Sings' Haters Back Off. Look after the break to check out each day's highlights, including trailers and let us know what you think (or what we missed).

Blu-ray & Games & Streaming

  • Annabelle Creation (VOD)
  • The Dark Tower (VOD)
  • Spider-Man: Homecoming (4K, 3D)
  • Girls Trip
  • Samurai Jack: The Complete Series
  • Serenity (4K)
  • Twin Peaks: Fire Walk With Me
  • Apollo 13 (4K)
  • Barry Lyndon
  • American Gods (S1)
  • Stranger Things (S1)
  • Gran Turismo Sport (PS4)
  • The Jackbox Party Pack 4 (PS4, Xbox One, PC, Switch)
  • Life is Strange: Before the Storm - Episode 2 (PS4, PC, Switch)
  • Let's Sing 2018 (PS4, Wii)
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  • Elex (Xbox One, PS4)
  • Dungeons 3 (Xbox One, PS4)
  • Megaton Rainfall (PS VR)
  • Rogue Troper Redux (PS4, Xbox One)
  • WWE 2K18 (Xbox One, PS4)

Monday

  • Colts/Titans, ESPN, 8:15 PM
  • Lucifer, Fox, 8 PM
  • The Big Bang Theory, CBS, 8 PM
  • The Voice, NBC, 8 PM
  • 9jkl, CBS, 8:30 PM
  • Dancing with the Stars, ABC, 8 PM
  • WWE Raw, USA, 8 PM
  • Supergirl, CW, 8 PM
  • 3 Hikers, Starz, 9 PM
  • Valor, CW, 9 PM
  • The Gifted, Fox, 9 PM
  • Kevin Can Wait, CBS, 9 PM
  • Me, Myself & I, CBS, 9:30 PM
  • Scorpion, CBS, 10 PM
  • The Brave, NBC, 10 PM
  • The Good Doctor, ABC, 10 PM
  • Desus & Mero, Viceland, 11 PM

Tuesday

  • The Mindy Project, Hulu, 3 AM
  • Patton Oswalt: Annihilation, Netflix, 3 AM
  • Slasher (S2), Netflix 3 AM
  • Celtics/Cavaliers, TNT, 8 PM
  • Rockets/Warriors, TNT, 10:30 PM
  • The Flash, CW, 8 PM
  • Finding Your Roots, PBS, 8 PM
  • The Voice, NBC, 8 PM
  • Lethal Weapon, Fox, 8 PM
  • NCIS, CBS, 8 PM
  • WWE Smackdown, USA, 8 PM
  • The Middle, ABC, 8 PM
  • Fresh Off the Boat, ABC, 8:30 PM
  • DC's Legends of Tomorrow, CW, 9 PM
  • Black-ish, ABC, 9 PM
  • Bull, CBS, 9 PM
  • The Mick, Fox, 9 PM
  • This is Us, NBC, 9 PM
  • Inside the NFL, Showtime, 9 PM
  • Fantomworks, Velocity, 9 PM
  • The Mayor, ABC, 9:30 PM
  • Brooklyn Nine-nine, Fox, 9:30 PM
  • The Mane Event (series premiere), BET, 10 PM
  • Undercover High, A&E, 10 PM
  • Cyberwar, Viceland, 10 PM
  • Kevin (Probably) Saves the World, ABC, 10 PM
  • Law & Order: True Crime, NBC, 10 PM
  • NCIS: NO, CBS, 10 PM
  • American Horror Story, FX, 10 PM
  • The Challenge, MTV, 10 PM
  • Tosh.0, Comedy Central, 10 PM
  • Weediquette (season premiere), Viceland, 10:30 PM
  • 90s House, MTV, 11 PM
  • Desus & Mero, Viceland, 11 PM

Wednesday

  • Chance, Hulu, 3 AM
  • Freakish (season premiere), Hulu, 3 AM
  • 76ers/Wizards, ESPN, 7 PM
  • The Blacklist, NBC, 8 PM
  • Empire, Fox, 8 PM
  • The Goldbergs, ABC, 8 PM
  • Survivor, CBS, 8 PM
  • Lucha Underground (season finale), El Rey, 8 PM
  • Riverdale, CW, 8 PM
  • Speechless, ABC, 8:30 PM
  • Dynasty, CW, 9 PM
  • Modern Family, ABC, 9 PM
  • Law & Order: SVU, NBC, 9 PM
  • Seal Team, CBS, 9 PM
  • Star, Fox, 9 PM
  • American Housewife, ABC, 9:30 PM
  • Timberwolves/Spurs, ESPN, 9:30 PM
  • Mr. Robot, USA, 10 PM
  • Shannara Chronicles, Spike TV, 10 PM
  • Criminal Minds, CBS, 10 PM
  • Chicago PD, NBC, 10 PM
  • Designated Survivor, ABC, 10 PM
  • Liar, Sundance, 10 PM
  • Are You the One, MTV, 10 PM
  • Channel Zero, Syfy, 10 PM
  • You're the Worst, FXX, 10 PM
  • Garage Squad, Velocity, 10 PM
  • South Park, Comedy Central, 10 PM
  • Broad City, Comedy Central, 10:30 PM
  • Rosehaven (season finale), Sundance, 11 PM
  • Desus & Mero, Viceland, 11 PM

Thursday

  • Bomb Scared, Netflix, 3 AM
  • I Love You America, Hulu, 3 AM
  • Grey's Anatomy, ABC, 8 PM
  • Superstore, NBC, 8 PM
  • Gotham, Fox, 8 PM
  • Supernatural, CW, 8 PM
  • Chiefs/Raiders, CBS, 8:30 PM
  • The Good Place, NBC, 8:30 PM
  • The Eleven (series premiere), A&E, 9 PM
  • Arrow, CW, 9 PM
  • Scandal, ABC, 9 PM
  • Van Helsing, Syfy, 9 PM
  • The Orville, Fox, 9 PM
  • Will & Grace, NBC, 9 PM
  • Great News, NBC, 9:30 PM
  • The Walking Dead: Behind the Dead, AMC, 10 PM
  • Chicago Fire, NBC, 10 PM
  • Better Things, FX, 10 PM
  • The Mist, Spike TV, 10 PM
  • Bong Appetit, Viceland, 10:30 PM
  • The Rundown with Robin Thede, BET, 11 PM
  • The Timeline, NFL Network, 11 PM
  • Desus & Mero, Viceland, 11 PM

Friday

  • Haters Back Off (S2), Netflix, 3 AM
  • Wheelman, Netflix, 3 AM
  • The Day I Met El Chapo (Episodes 1 - 3), Netflix, 3 AM
  • Red Oaks (S3), Amazon Prime, 3 AM
  • Crazy Ex-Girlfriend, CW, 8 PM
  • Macgyver, CBS, 8 PM
  • Once Upon a Time, ABC, 8 PM
  • Tackle My Ride, NFL Network, 8 PM
  • Jane the Virgin, CW, 9 PM
  • Marvel's Inhumans, ABC, 9 PM
  • Active Shooter, Showtime, 9 PM
  • Z Nation, Syfy, 9 PM
  • The Exorcist, Fox, 9 PM
  • A Football Life: Sam Mills, NFL Network, 9 PM
  • Tough Guys, Showtime, 9 PM
  • Superstition (series premiere), Syfy, 10 PM
  • The Walking Dead: Walker World, AMC, 10 PM
  • Mike Judge Presents: Tales from the Tour Bus, Cinemax, 10 PM
  • Superstition, Syfy, 10 PM
  • Tracey Ullman's Show (season premiere), HBO, 11 PM
  • Comedy Central Stand-Up Presents, Comedy Central, 12 AM

Saturday

  • Too Funny to Fail, Hulu, 3 AM
  • Dirk Gently's Holistic Detective Agency, BBC America, 9 PM
  • The Walking Dead: The Journey So Far, AMC, 9 PM

Sunday

  • The Toy Box, ABC, 7 PM
  • Outlander, Starz, 8 PM
  • Shark Tank, ABC, 8 PM
  • The Simpsons, Fox, 8 PM
  • Falcons/Patriots, NBC 8:20 PM
  • Star Trek: Discovery, CBS All Access, 8:30 PM
  • Ghosted, Fox, 8:30 PM
  • Wisdom of the Crowd, CBS, 8 PM
  • Outlander, Starz, 8 PM
  • The Walking Dead (season premiere), AMC, 9 PM
  • Family Guy, Fox, 9 PM
  • Anthony Bourdain: Parts Unknown, CNN, 9 PM
  • Poldark, PBS, 9 PM
  • Ray Donovan, Showtime, 9 PM
  • The Deuce, HBO, 9 PM
  • The Last Man on Earth, Fox, 9:30 PM
  • NCIS: LA, CBS, 9 PM
  • Talking Dead (Season premiere), AMC, 10 PM
  • Good Behavior, TNT, 10 PM
  • Madam Secretary, CBS, 10 PM
  • Curb Your Enthusiasm, HBO, 10 PM
  • Ten Days in the Valley, ABC, 10 PM
  • This is Life with Lisa Ling, CNN, 10 PM
  • Unsung Hollywood, TV One, 10 PM
  • Vice Principals, HBO, 10:30 PM

[All times listed are in ET]

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