This June I signed up for Climb Like a Girl at Brooklyn Boulders in my neighborhood. I have been climbing just a few times before but really enjoyed it. I was looking for a new challenge and this seemed like the perfect early summer activity. Climbing combines a physical challenge with puzzle solving and it is completely addictive. With Climb Like a Girl, I’ll be climbing twice a week all this month with a group of other climbing gals at Brooklyn Boulders Queensbridge.
I have a fear of heights and it’s something I’m facing as I get better at scaling the wall. Every climb I feel the push of wanting to reach the final hold and the pull of safe, solid ground below. I hate falling! But it’s exhilarating to solve every new puzzle and progress slowly from V0s and V1s to V2s… and hopefully beyond.
The photos are from my first visit to Brooklyn Boulders Queensbridge with my sisters in 2017. We had a great time bouldering for the first time together. Looking forward to some more climbs in the coming weeks!
I often find it exhilarating to hear about visions of the future. To be fair, these can sometimes be dystopian but I’m thinking more along of the lines of the Disney World vision of “Look at these amazing things ahead!”
Visually these conversations bring to mind a scene from Epcot’s Spaceship Earth. Spaceship Earth is a ride inside the iconic geodesic dome at Epcot at Walt Disney World. The ride, at one point sponsored by AT&T (corporate sponsorships for rides, genius!), tells the story of the history of communication through animatronics: cave paintings in France, the lectures of Socrates, and the invention of the printing press are a few of the scenes presented. There is also a section that looks ahead to what is possible for human communication using technology.
One of these visions particularly thrilled me in the 1990s – a mother archaeologist, on site at a remote dig, video chatting with her child comfortably at home. This was a vision of the future I wanted to be a part of. First, a working mother who travels with an exciting job – amazing! But also the ability to connect with close family no matter the distance.
Well, it’s 2019 and we have Facetime. So that dream has come true. But I get this same feeling of exhilaration reading some of these predictions about AI and its potential to enhance human connection and performance in this article.
Here are some particuarly hopeful selections:
“By 2030, most social situations will be facilitated by bots — intelligent-seeming programs that interact with us in human-like ways. At home, parents will engage skilled bots to help kids with homework and catalyze dinner conversations. At work, bots will run meetings. A bot confidant will be considered essential for psychological well-being, and we’ll increasingly turn to such companions for advice ranging from what to wear to whom to marry.” —Judith Donath, Harvard University’s Berkman Klein Center for Internet & Society
“The developed world faces an unprecedented productivity slowdown that promises to limit advances in living standards. A.I. has the potential to play an important role in boosting productivity and living standards.” —Robert D. Atkinson, president of the Information Technology and Innovation Foundation
“People will increasingly realize the importance of interacting with each other and the natural world and they will program A.I. to support such goals, which will in turn support the ongoing emergence of the ‘slow movement.’ For example, grocery shopping and mundane chores will be allocated to A.I. (smart appliances), freeing up time for preparation of meals in keeping with the slow food movement. Concern for the environment will likewise encourage the growth of the slow goods/slow fashion movement. The ability to recycle, reduce, reuse will be enhanced by the use of in-home 3-D printers, giving rise to a new type of ‘craft’ that is supported by A.I.” —Dana Klisanin, psychologist, futurist and game designer
To be fair, many of the predictions in the article are not nearly so rosy. Many point out the potential for AI to be destructive and misery-making for much of humanity — scary stuff. Reading these comments from AI experts and futurists, I appreciate the spectrum of visions that seemed lacking when I was happily dreaming about my 2019 life during a Disney trip. I think (and I hope) that these warnings are driving conversations about how industries will shape AI as we move into the future.
I’ve always been an avid reader but this year my reading has increased exponentially. I’ve religiously tracked my reading on Goodreads since 2016 and noticed my reading volume has doubled since the start of the year. Here’s my book counts as of June 1 over four years. Note that the spike in 2019 isn’t due to reading shorter books. I’ve already read more pages in 2019 than I did for all of 2018!
Here’s a few ways I’ve kicked up my reading volume in 2019:
I always have a book available to read. Sometimes I carry a physical book, which is my preferred format. Even better, late last year I downloaded Libby on my phone, which means I can instantly check out books on my phone from the New York Public Library.
Reading is my go-to downtime activity. I don’t have a TV and my guitar is getting dusty. In the past, when I had a few moments free I’d sometime read an article online or clean up my email. Now I go directly to a book. Those little moments here and there add up.
Track! YMMV but I really enjoy tracking and reviewing the books I read. Goodreads is my go-to social media.
Here’s my year in books for 2019. Feel free to follow me on Goodreads if you use it!
*Photo of my sister Autumn at a bookstore in Reykjavik, Iceland during our November 2017 trip.
Here’s a plug for a practice I’ve leaned on more and more to make sure I’m getting things done, particularly those important-but-hard-to-sit-down-and-do things.
I experience the textbook case of procrastination due to perfectionism. When I have a vision for how I want something to turn out, it’s often overwhelming for me to start or at least keep it going. The Pomodoro technique totally wipes this out.
Here’s a summary of the Pomodoro technique. Many advocates advise not using the timer on your phone but I always have with no issue. I also don’t stick to the rules about how many Pomodoros to do before taking a break. It’s rare that I find a block of clear time longer than 1-2 hours in my day.
This is why the Pomodoro technique works so well for me:
Offers a low barrier-to-entry to just getting started. Rather than clearing my desk, reaching inbox zero and having a snack before starting a project (all sneaky ways to procrastinate!), I just start the timer and work. It’s only 25 minutes!
Captures actual effort exerted. Recently I lamented that a project was taking the whole day. Then I realized I had only done two Pomodoros, with the rest of my time going to two phone meetings, a coffee and lunch. So in reality I had only worked on that thing for less than one hour. A much needed reality check!
I recommend trying it out, especially if you’re prone to procrastination.
Companies spend 40-60% of revenue on payroll and some of this enormous expense is driven by management decisions about recruiting, promoting and training made on gut feel. That said, HR is an area of active innovation. The growing discipline of people analytics and improved technology are just some of the ways that the function is becoming data savvy and predictive.
My goal this month was to understand more about what AI is and how it will impact HR and the future of work. My takeaways:
Robots are not going to take our jobs. At least not in the near future. The most compelling applications of AI currently enhance human work. Jobs and the skill sets needed to excel in this environment will likely change, with a focus on skills that humans already excel at, like thoughtful communication and making judgment calls with complex information.
The ethical implications of AI are a serious concern. There are many, many discussions on this topic but no clear guidelines have emerged.
Regulation lags implementation. Similar to ethical concerns, it’s not yet clear how companies will be asked to stay compliant using AI tools.
Interacting with AI can be fun! Concerns that AI leads to poor user experience or an inhuman touch seem to be unfounded for the most part. While there are complaints about highly automated recruiting processes, many platforms provide transparency and feedback at a scale that isn’t possible for traditional recruiting organizations.
Thanks for engaging in #AIFebruary. It’s been fun to hear from people interested in the topic and always amazing to find kindred hobbyists on the internet. Please continue to reach out to me with questions and comments! I’ll continue to share my thoughts on the topic here and on Twitter.
This article by Tracy Malingo on HR Technologist caught my attention as an interesting approach to ensure the ethical application of AI in the enterprise.
In “HR is the Ethics Model AI Needs,” Malingo makes a compelling case for placing AI under the purview of HR instead of IT. This seems like a radical notion but her arguments are solid:
HR is already tasked with steering company culture and acceptable behavior. While HR has often been the last adopters of innovation, this limits their ability to be part of creating better technology and innovative approaches to hiring, managing, developing and retaining the company’s valuable workforce.
Placing it within HR provides a system of checks and balances, since HR is incentivized to prioritize employee relations.
I’m not sure if companies will implement this, but I think it’s a proposal worth considering.
I’m reading Brief Answers to the Big Questions, Steven Hawking’s last book published in 2018. One of the questions he takes on is, “Will artificial intelligence outsmart us?” His answer is more nuanced than some media outlets give him credit for.
Hawking sees huge potential for artificial intelligence, especially in partnership with human cognition and if properly aligned with human interests.
If we can connect a human brain to the internet it will have all of Wikipedia as its resource.
Steven Hawking, Brief Answers to the Big Questions
However, he acknowledges that creating this alignment is tricky and there are many risks in a technology that can quickly surpass human abilities and exponentially develop itself.
His key advice is that humanity needs to seriously consider the risks and impact of artificial intelligence alongside developing it if it is to be a beneficial rather than a destructive force.
For my notes on this book as well as the list of books I’ve read and my reviews, visit my Goodreads page.
Keeping it brief today. I wanted to share some content I follow for information on AI developments. A challenge I’ve found as I learn about AI is that a lot of content skews technical – the intended audience is programmers, not businesspeople. The sites I’ve shared below are relevant to those focused on implementation and investment rather than creation. I may update this over time as I find additional sites.
Work-bench blog: Work-bench is a enterprise technology focused VC in New York City. They’re not exclusively focused on AI but it’s gotten a lot of attention lately and often comes up in their blog posts.
An interesting highlight from the article is a comparison of the occupations with the highest and lowest growth over the past five years.
Among the highest growing jobs are Human Resources Specialist and Recruiter, which this article suggests are inherently difficult to automate and therefore less likely to see the impacts of AI.
These roles require an understanding of human behaviors and preferences—a skill set which fundamentally can’t be automated.
Igor Perisic, “How artificial intelligence is already impacting today’s jobs,” LinkedIn
I would agree that the top jobs on this list do require an understanding of human behavior that may insulate them in some ways. However, the growth of these jobs also increases the pressure to ensure they are as efficient as possible, and that is the benefit of applying AI in these fields.
As a follow-on to my post yesterday about responsible AI, I wanted to highlight some of the risks inherent when applying AI to HR applications. Working in people analytics, I realized there are additional challenges given the sensitive data set. I imagine some of this is similar to concerns with handling analysis in healthcare given the sensitivity of people data, but some are specific to HR.
Algorithms are built on training data and learn from past behavior. Biased, discriminatory, punitive or overly hierarchical management practices could be institutionalized without additional review and management of the training data. AI systems need levers and transparency so that users know how it works and can engage it appropriately.
As with so many tools in HR, the use of people data presents a risk of data exposure.
Possible misuse of data. Management may pull development opportunities from employees predicted to leave in the next six months. A hiring manager may decide not to make an offer by someone predicted to reject an offer. AI is appealing because it can inform decisions, but false positives have real-life consequences.
Many of the companies building AI tools for HR are thinking deeply about these issues. Frida Polli, founder of pymetrics, discussed the impact on diversity and inclusion in this interview at Davos. There is great thought leadership in the space.