bot

From conversational agents to robots

in

Mark Meadows wrote an interesting piece at Robohub. Basically, on virtual assistants such as Apple's SIRI, Microsoft's Cortana or Facebook's M are "the testbeds for tomorrow’s personal robots":

"Our mobile devices are becoming natural language interface hubs for life management and, as a result, having a gravitational pull on an increasingly complex buzz of connected services and APIs. This means that things like search will change: we will no longer have to speak Googlese; paper and page metaphors will be supplanted by the more dynamic (and cognitively more addictive) character metaphor. And if trends in virtual assistants and intelligent helpers – software robots – continue, then knowledge-bases (such as Wolfram Alpha or IBM Watson) will continue to come peppered with a patina of natural language, allowing us to move through data faster, with less training, and in a more human manner.

[...] We can also foretell the future by looking at less advanced natural language systems. Bots – essentially natural language oriented scripts – are a good indicator of where the robotics industry is at because bots are pervasive, useful, and simple to author. TwitterBots and FacebookBots crawl through these systems like bees in a hive, industriously providing retweets, reposts, summaries, aggregations, starting fights and flocking to followers. They can be bought, auctioned, sold, and deleted; you can buy 30,000 Twitter followers on eBay for as little as for $20, provided they’re all bots."

Why do I blog this? Although I'm not sure whether these agents need a proper physical instantiation (bigger than a phone), Mark's argument is relevant; especially if you consider how talking to objects (interacting with voice, or chatting/tweeting to bots) becomes slightly more present (= less weird).

ETHICAL AUTONOMOUS VEHICLES

ETHICAL AUTONOMOUS VEHICLES by Matthieu Cherubini is a stunning project I ran across tonight:

"Many car manufacturers are projecting that by 2025 most cars will operate on driveless systems. While it is valid to think that our roads will be safer as autonomous vehicles replace traditional cars, the unpredictability of real-life situations that involve the complexities of moral and ethical reasoning complicate this assumption.

How can such systems be designed to accommodate the complicatedness of ethical and moral reasoning? Just like choosing the color of a car, ethics can become a commodified feature in autonomous vehicles that one can buy, change, and repurchase, depending on personal taste.

Three distinct algorithms have been created - each adhering to a specific ethical principle/behaviour set-up - and embedded into driverless virtual cars that are operating in a simulated environment, where they will be confronted with ethical dilemmas."

Why do I blog this? This definitely counts as a project related to my interest towards algorithms and how their use influence everyday life.