This week we are focusing on AI & the Future of Tech:
What we are excited about, anticipating, anxiously awaiting, afraid of, thrilled by, confused by. These innovations that will change our the way we work, the way we play, the way we live.
Artificial Intelligence has the potential to help us create an even brighter, faster, more efficient future; however, many of us are worried about what this kind of Tech will take away from us–what human element will be lost.
This month, Tech Crunch honed in on some of the talk around Conversational AI, especially those digital assistants that serve us as part of other device packages, like in our phones, in cars, etc.
Basically, despite bounds and leaps being made in this Industry, the AI is still not functioning to the level of “intelligence” that we want or expect from this kind of Technology.
“Despite great strides in natural language processing (NLP) by data-driven approaches, natural language understanding remains elusive.”
But Researchers all over the world are working on this, including Google’s Team: “Such vectorized representations are at the heart of Google’s new translation system, although they are representations of entire sentences, not just words. The new system “reduces translation errors by more than 55-85 percent on several major language pairs” and can perform zero-shot translation: translation between language pairs for which no training data exists.”
Still, in the words of AI Researcher Oren Etzioni,
“When AI can’t determine what “it” refers to in a sentence, it’s hard to believe that it will take over the world.”
Ultimately, understanding what is currently possible and what AI Tech is still struggling with is essential to building toward the next steps in Conversational AI.
Over at The Verge, author Mark O’Connell has been interviewed about his new book To Be a Machine, which “delves into the world of transhumanists, or people who want to transcend the limits of the human body using technology.”
O’Connell is interested in the transhumanist movement’s assertion that it is possible and desirable to merge with conventional models and prototypes of Artificial Intelligence Technology to become superhuman, or posthuman.
“Transhumanists want to be stronger and faster; they want to be cyborgs. And they want to solve the problem of death, whether by freezing their bodies through cryonics or uploading their consciousnesses. Transhumanists have been around since at least the 1980s, but have become more visible in the past decade as technology advances have made these ideas seem more feasible and less like sci-fi.”
It seems that this movement is unlikely to become mainstream anytime soon, but is popular among biohackers, those interested in cryonics, and various arms of the personal Tech sector.
Forbes Tech is taking a very different perspective this month on the growth of AI and the multi-industrial future of tech. They ask:
“What about the flip side of the issue: What kind of positions or work will be safe from the automation process?”
There will be no AI substitute for:
Jobs That Require Human Judgement And Creativity
Anything That Requires A Human’s Sensibility
Live Entertainment And Talented Educators
although there are some considerations, including:
- Everything Will Be Aided By Automation
- “Jobs that require creativity and non-linear thinking may never be fully automated, but machines can still help.”
- No Limits For Automation for Specific Assistive Jobs
- Even in areas that resist total Automation, certain Job functions will be Automated across the board very soon.
AI and the future of music
From engadget, a collection of articles on AI in Music Technologies across disciplines, industries, and interests, featuring this Factmag piece on the past/present/future of Music-making Technologies. We are asking the question:
Is the future of music artificial?
As an added bonus, here is the first ever piece of music created entirely by AI.
“Prompted to write a song in the style of the Beatles, an AI system based at Paris laboratory Flow Machines created the melody and harmony after analysing a database of over 13,000 tracks in different musical styles, from jazz and pop to Brazilian samba and Broadway musicals.”
As a final note to this week’s meditation on AI and the Future of Tech, the future of humans, and our relationship to each other, let’s take a quick look at an issue we should always be keeping an eye on, especially in the #Recruiting world: Diversity.
Is Your Diversity Recruitment Struggling?
From ERE Media, we have these highlights:
Research has shown time and time again organizations with diverse and inclusive workforces win:
- Ethnically diverse companies are 35% more likely to have financial returns above national industry medians and gender diverse companies are 15% more likely to do the same (McKinsey)
- Companies with more women on the board statistically outperform their peers over a long period of time (Catalyst)
- Inclusive teams outperform their peers by 80% in team-based assessments (Deloitte Australia)
- (Catalyst also has a great infographic showing 39 reasons businesses should invest more in diversity and inclusion)
Here are 5 mistakes to watch out for!
Mistake #1: Ignoring your current employees
Mistake #2: Lack of diversity in the hiring funnel
Mistake #3: Failing to match interviewers to candidates
Mistake #4: Measuring diversity as a blanket number
Mistake #5: Forgetting to look at post-hire data
For more information, read the whole conversation <HERE>.