On this episode, we’re joined by guest Bruce Corwin from the Bourbon Brotherhood.
Talks revolved around artificial intelligence, Bruce’s teenage years as a hacker, and bourbon. Oh, and thanks to Dave, some clowns made an appearance — but none were hurt in the recording this episode.
Three Types of Artificial Intelligence
We humans have behaviors that can be learned and replicated. Machine learning is an artificial intelligent (AI) robot that, without a programmer (human), learns these behaviors behaviors, then can replicate them and improve over time.
There are three major types of artificial intelligence:
- Artificial narrow intelligence (ANI), which has a narrow range of abilities.
- Artificial general intelligence (AGI), which is on par with human capabilities.
- Artificial super-intelligence (ASI), which is more capable than a human.
Artificial Intelligence in Movies, Culture
A.I., iRobot, Ex Machina, Terminator…
Artificial intelligence has long been a mainstay of some of Hollywood’s most popular films.
It also influences what we read, what trending topics take root online, what news websites are presented to us, what search engine results are delivered, and plenty more.
Social media algorithms are a prime example of how A.I. can influence our thinking, as we’ve seen within the last decade.
Social media platforms have a machine – an algorithm – that runs in the background monitoring all user activity on the platform. Based on the activity and data, the algorithm dictates what shows up in each individual’s feed, the priority of content, types of advertising shown, suggested news content delivered, suggested friends/connections, and more.
How Do They Do It?
More or less, social media algorithms in particular operate on “engagement.” The more you engage with a particular type of content, brand, or person, the more the algorithm learns about your behavior and continues to populate your feed with related content.
In turn, social media has often been criticized for creating “silos” in peoples’ thinking. Because the purpose is to keep you entertained enough to stay on the platform, the algorithm naturally continues giving you information that pleases you or hits your interests.
That can create narrow perspectives and create a vacuum for limited information exchange.
How Does This Effect Our Culture?
Misinformation is widespread online, particularly on social media. COVID-19 and other contentious socio-political topics are a prime example.
These algorithms and their reward functions can have significant consequences.
Patterns from an MIT study on Twitter showed false news traveling faster (political, mostly) than truthful news.
And it’s not just social media.
Platforms like Google Ads are using machine learning to build a “profile” on you and place you in specific affinity or interest groups, and then advertisers have the ability to target those groups.
The ads you will see on your online streaming services, on your mobile apps, and across your web browser are generally targeted to you based on your interests, websites you’ve visited, videos you’ve watched, your search engine history, and so on.
Some documentaries on AI that we referenced in this episode.
How have you seen AI used around you? Head to our Facebook page and leave a comment about how you’ve seen AI influence your day-to-day life.
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