Once a beacon of optimism, the tech industry has come under pressure as concerns about potential negative impacts of innovation mount. Here are three ways to approach the problem. Let's discuss.
I was honored to be named LinkedIn's #1 Voice in Technology for 2017. Congratulations to the other exceptional writers who made the list, and a very big thank you to my readers! As the year winds down, I thought it would be fun to recap your picks (by pageviews) for the top 10 articles of 2017.
To put AI to work for your brand, you must first set up a game you and your AI coworker can win. The questions you ask your AI coworker to answer need to be appropriate.
While I was out at a meeting, my meticulously neat wife armed herself with a feather duster, donned protective pink rubber gloves, and viciously, mercilessly straightened, organized, and dusted the desk in my home office. My desk was clean, but the results were suboptimal.
The coincidental emergence of the #MeToo hashtag and self-training, self-replicating AI systems got me thinking. How will a self-training AI system be biased when learning from the #MeToo hashtagged posts? And how would the advent of self-training AI affect the systems that control our news feeds and other curated content presented to us?