Issue #[[item.issue__number]] published [[timeFormat(item.date)]]

70 items in AI

Didn’t take long for the applications of GPT-3 to productise. Have a watch of the video on the Magic Email landing page - great demonstration of how this protocol can provide immediate value - summarising long emails in one click. Not sure what it might do to brainfood, but you might as well get on the waitlist and find out.
Issue #205 published 13 Sep 2020
Three themes emerge from this Oxford University report for failing AI implementations…1) poor integration with existing workers & working procedures, 2) overly simplistic AI i.e. binary decision tree and 3) a lack of management transparency leading to employee lack of trust. Based on newspaper reports though….is that data ok? Download and read here
Issue #204 published 6 Sep 2020
The UK’s recent GCSE and A-Level grade prediction fiasco provides a fascinating opportunity to see how prediction algorithms really work. This superb analysis is technical but accessibly written and an excellent lesson on the importance of second order thinking. Read this, if you wanted to know what an algorithm is, how it works and why it might not ‘work’ even if it does actually work.
Issue #203 published 30 Aug 2020
The optimists view of AI is that it will free human workers from the mundane so that we cam focus on the work software cannot do - work with other humans. Decent list of the skills we’re going to need to develop for this version of the future - check it out here. H/T brainfood Selma Mohr for the share in the fb group.
Issue #202 published 23 Aug 2020
Fascinating insider view from model Sinead Bovell on the rise of CGI competitors in the fashion industry - cheaper, always on-demand, always less demanding (remember Linda Evangelista’s famous quote from the noughties of ‘not getting out of bed for less than$10,000 a day’?’) and quite simply are much more efficient in putting on different outfits and making different poses. The era of the 'supermodel’ is already long gone; the era of any human model might also soon be coming to an end.
Issue #200 published 9 Aug 2020
More on OpenAI’s GPT-3. The lesson here is that AI doesn’t have to be all that smart for it to be practically useful - it just has to have a massive dataset (like, for instance, the Internet). 3 minute video on how simple commands can compile into complicated code, and run. Basically ….means the end of reinventing the wheel?
Issue #199 published 2 Aug 2020
Know his name, because ‘he’ doesn’t actually exist. Fascinating story / PR stunt by a Russian design studio who passed off the bot 'Nikolay Ironov’ as a human designer - and won awards for the work. Overlay this story of human like AI performance on top of the phase shift to remote only….and the inevitable future moves into focus.
Issue #199 published 2 Aug 2020
The engineering blog on LinkedIn contains fascinating posts on the mechanics of the platform; if you want to know how big blue works, you really have to be on it with this blog series. This post provides a detail on how the job matching algorithm works - a fascinating breakdown of the relevancy challenge. H/T to brainfooder Colin McNicol for the share in the fb group.
Issue #199 published 2 Aug 2020
Expect to hear a lot more about OpenAI’s new language model, GPT-3. Released to private beta (apply here), its a language model which can write headlines, viral tweets, poems, whole stories and even code. Might just change everything we currently do with a keyboard. Which, for us recruiters, is more or less everything. Read here, join the conversation here, and see this example of a GPT-3 generated cover letter - H/T brainfooder Christine Ng for that share. This is probably a big deal.
Issue #198 published 26 Jul 2020
That cultures change is an important idea we struggle to embed in our discourse on organisational culture. How do we reduce the distance between what we think is there, and what really is there now? The challenges for AI are also the challenge of HI - human intelligence. Great brainfood from John Sumser- have a read here
Issue #194 published 28 Jun 2020
Fascinating research tracking the career paths of AI scientists and researchers, with a particular emphasis on immigration flow; which countries produce and ‘consume’ the most AI talent? It’s another story on China and the USA. H/T to brainfooder Petar Vujosevic for the share.
Issue #193 published 21 Jun 2020
A lot has been written about AI in Recruiting, so rather handy to have most of it aggregated into a single resource. This guide is a perfect combination of comprehensive + accessible, being lengthly yet chunkable. Everyone needs to read this - do it here. H/T brainfooder Denys Dinkevych
Issue #192 published 14 Jun 2020
Outstanding write up of the Economics of Artificial Intelligence Conference 2019 from our buddies at Nesta. How will AI impact jobs, workplaces and innovation? Explore the investigation and discussion in this well linked review post.
Issue #158 published 23 Apr 2020
Fascinating experiment on the how humans interact with robots that are made in a country different from our own. Do national stereotypes project onto anthropomorphised and embodied AI? Perhaps related to the Tengai conversations we’ve been having lately in the fb group.
Issue #138 published 23 Apr 2020
Last week, Amazon quietly unveiled what could turn into a fundamentally different way to build software. Think machine learning tools ‘baked in’ to your software development. Expect massive adoption from the tech community. For the luddites, this is a further step towards to de-skilling of software engineering. It’s thought provoking stuff. Thanks to brainfooder Randy Bailey from Walmart for the share
Issue #61 published 23 Apr 2020
So Amazon created a sexist recruitment machine. Accidentally, it must be said. Excellent case study in the limitations of using historical data to produce different outcomes - it’s just going to (more efficiently) deliver the same results you had before.
Issue #105 published 23 Apr 2020
Important questions raised by Roya Pakzad in this comprehensive yet accessible breakdown of IBM’s Personality Insights tool. Problems when it work, problems when it doesn’t maybe the intractable challenge of AI. This post is of interest to anyone in sourcing, assessment, AI and ethics. That really should be all of us here really. Have a read
Issue #151 published 23 Apr 2020
Humans are never going to beat AI for accuracy and efficiency in measuring the impact of work. So we need to migrate to the work that cannot be easily recorded in a spreadsheet.
Issue #24 published 23 Apr 2020
The answer, is ‘reinforcement learning’, following on the pivotal moment in 2015 when AlphaGo, a reinforcement learning trained AI, beat Lee Sedol on Go. Excellent and accessible snapshot of the 'state of AI’ by MIT
Issue #121 published 23 Apr 2020
The hate for open plan offices has hit apogee of late, so maybe it’s time to give up on trying to design how we use space in work. How about we leave it to algorithms? Genetic algorithms to be precise, using darwinian evolution to evolve a floor plan. Someone should really give this a try.
Issue #96 published 23 Apr 2020
Humans-assisting-machines and Machines-assisting-humans, this is an optimists take on the rise of AI and RPA in the world of work. Whatever your angle, the main point is this: to optimise your value from AI, you need to redesign your operations around the reality of human-AI interaction. Read the summary here
Issue #100 published 23 Apr 2020
25,000 worldwide - that’s the number of AI folks there are on planet earth. It’s a massive shortage and AI will almost certainly be the most in-demand skillset for the next several years. H/T brainfooders Azeem Azhar and John Sumser who each independently brought this excellent interactive report into my view. Click on it, have a play. 
Issue #73 published 23 Apr 2020
Swiftian satire from Jason Collins on this essay on the double standard applied against artificial intelligence. Written for fun, but poses an important question: why do we demand from AI decision making, that which we routinely tolerate from human decision making? Have a laugh and a ponder on this delightfully wicked piece of brainfood
Issue #166 published 23 Apr 2020
Elegant website which compares the development of AI in countries across the indices of infrastructure, investment and innovation. Make no mistake - this a race - in the end, maybe the only one that is going to matter. This tool gives a guide on where we are.
Issue #166 published 23 Apr 2020
Founder effect in full display here with artificial intelligence is booming in Europe, China, and the US, but dominated by men in every location. What impact this will have? We don’t know for certain, but we can perhaps guess
Issue #114 published 23 Apr 2020
The value of past experience as a predictor of future performance still rated highly, especially by those who have that experience. And ‘bias’ seems to becoming a catch-all explainer for outcomes we don’t like. Interesting post - one that I don’t agree with - but included here because it’s definitely food for the recruiting brain. Brainfooder David D'Souza makes a good counter point, so read that also as a companion piece.
Issue #177 published 23 Apr 2020
Selection algorithms everywhere are exhibiting traits that appear to be racist, sexist, and otherwise discriminatory. Have neural networks already developed their own neuropathy? Or are people somehow the problem?
Outstanding post from ZDNET on the challenge presented by bias in AI, and ‘why AI can’t just fix it’. Lots of concepts here that we in the recruitment biz need to learn, so this one to take your time over. Fascinating, accessible and necessary read
Issue #145 published 23 Apr 2020
Supporting evidence for the idea that autonomous decision making is not only superior to human judgement, but also preferred by humans subjected to it. We might fear the robots, but we also think they are more likely to be fair. Also read the Amazon story in Issue 133
Issue #137 published 23 Apr 2020
Outstanding deck from our buddies at Allegis Global Solutions, HiringSolved and SmashFly. Clear outline of where we are and how we might apply Artificial Intelligence to augment and replace recruiters - this is a great compliment to the previous two posts on this topic. 
Issue #63 published 23 Apr 2020
Superbly informative article on AI - it’s a well categorised, deep dive yet an accessible transcription of interviews with the great and the good of the industry. The ‘Seven Themes’ is a great way to to get a helicopter view of this critically important development in society. 
Issue #63 published 23 Apr 2020
Andreesen Horowitz produced a massive interactive guidebook on AI. It was not without controversy - it was perhaps a little to ambitious in it’s attempt to be the definitive resource on the topic - but this interactive book nevertheless represents a tremendous collection of thinking on the AI landscape. 
Issue #63 published 23 Apr 2020
In a week when IBM CEO Ginni Rometty predicted a 100% AI impact to human work, its timely that element.ai published their 2019 report on on the state of AI talent across the globe. Things we know: not enough AI professionals, not enough women AI professionals (18%), small number of countries dominant and AI talent is mobile. Also complete with a handy list of ML conferences to plug into a boolean search. Take a read.
Issue #131 published 23 Apr 2020
Anatomy of an AI System - The Amazon Echo as an anatomical map of human labor, data and planetary resources.
Of interest to anyone who might still remember the wonder of the voice activated internet, and what our place is in it, as simultaneously user / consumer / producer and product in the complicated supply chain that is today’s AI. A long, challenging, wonderful read
Issue #153 published 23 Apr 2020
Five AI priorities for 2020: bringing efficiency to problem solving, upskilling, improved risk management, integrating AI into business processes, and shaping new business models. Nice interactive website from PwC, with scenarios to think about for 2020.
Issue #165 published 23 Apr 2020
What’s the real value of AI for your business? PwC put together an accessible report which combines education on the topic along with welcome opportunity sizing. It’s only a 22 pager and easily snackable. 

Issue #75 published 23 Apr 2020
A great deal of the arguments about AI in recruitment stems from semantic disagreements on terminology, effectively tarpitting any debate and rendering them valueless. This landscape / taxonomy post by Francesco Corea is one of the best I’ve read, which succinctly outlines the classifications into a super readable, super valuable post. H/T brainfooder Randy Bailey for the share in the fb group.
Issue #150 published 23 Apr 2020
So file this one under ‘stuff we know already’ but always good to get research which confirms the assumption; Data Science skills are hot, and only getting hotter, as companies and countries race to acquire the skills to power the next economic revolution.
Issue #143 published 23 Apr 2020
Pretty much the Mary Meeker for AI. Messers Nathan Benaich and Ian Hogarth published their annual report on Artificial Intelligence last week. It’s a monster 136 pager but accessible enough and required reading for anyone who cares about AI. Download it here
Issue #143 published 23 Apr 2020
You might have guessed by now that brainfood is all about condensing complex information into more consumable snacks. Few resources deliver to this value that this paper from İskender Dirik. If you care about AI at all, download and have a read. H/T to brainfooder Anna Ott for the share
Issue #108 published 23 Apr 2020
Computers are getting better at mimicking our language. What does this mean for use recruiters when software to write job ads is demonstrably more effective than we are? An ‘augmented future’ might have been overly optimistic as the path toward AI superiority now seems clear. Fascinating and accessible 5 minute video. H/T to brainfooder Stan Wasowicz for the share in the fb group
Issue #178 published 23 Apr 2020
Impressive collection of resources from McKinsey on the challenge artificial intelligence brings to the workplace. This is basically a risk management framework for the enterprise. The management speak is a bit annoying but its nevertheless worth a read, especially for ‘foodies working in corp / enterprise
Issue #135 published 23 Apr 2020
Massive report on the ‘state of AI’ in 2019, covering everything from number of conferences, papers, technical progress, govt investment and the rest. Be warned: it’s a monster of a report (nearly 300 pages) but you will want to download this for reference throughout 2020. 
Issue #167 published 23 Apr 2020
It’s a running joke in the DS community that ‘artificial intelligence’ is defined by what it can’t do yet. I share MIT’s more generous definition, brilliantly outlined here in a back-of -an-envelope style by Karen Hao. H/T brainfooders John Sumser and John Rose for the share.
Issue #110 published 23 Apr 2020
How do experts make the calculations on potential job losses through automation and AI? Interesting post from Quartz, breaking down the method behind 3 major reports (linked in the article) on the future of work. Great primer on how to read reports in era of hype and fake news.
Issue #68 published 23 Apr 2020
Outstandingly straightforward explainer on how bias can creep into the algorithm. There are no easy answers here, but an important read for anyone interested in at least being critically aware of the potential of bias in AI. Have a read here
Issue #122 published 23 Apr 2020
Sometimes you just need an extendible glossary of all the terms in data science and artificial intelligence you come across and find you need to google. This here is it - a fantastic, accessible yet respectful resource on a challenging topic none of us can afford to ignore. Bookmark it.
Issue #142 published 23 Apr 2020
Is the conversation about ‘what is AI’ is finally ready to move on from rhetoric to pragmatism? This post provides a good grounding on those who still want to argue the point. In any case, it isSuperb an interesting history of the opacity of the words 'artificial’ and 'intelligence’. Have a read here
Issue #130 published 23 Apr 2020
Nathan Benaich and Ian Hogarth channeling their inner Mary Meeker with this 156 page slide deck on the State of AI. It’s an outstanding achievement. Great resource for us here on brainfood - download the full deck here
Issue #91 published 23 Apr 2020
Incredible video of the human-to-AI conversation where you really cannot tell which is the robot and which is the person. It’s application to the recruitment industry is as obvious as it is portentous. For those who want more detail on Google Duplex, you can get it directly from the horses mouth.
Issue #83 published 23 Apr 2020
Hyperbole in the title but the phenomenon of the Chinese state rolling out society changing technology is hardly without precedent. Whilst we worry about Facebook and data privacy, China is charging ahead towards it’s own vision of the future.
Issue #83 published 23 Apr 2020
Behind the artificial intelligence personal assistants and concierges are actual people, reading e-mails and ordering Chipotle. Great article on how much human input is still required for basic tasks like scheduling a meeting. 
Issue #33 published 23 Apr 2020
John Sumser cuts through the noise of AI in industry with a simple taxonomy of AI tech tools - AI as Platform Service, Data Workbench, Microservice, Embedded, the AI First Suite, and Robotic Process Automation (RPA). We need more precise thinking like this - have a read
Issue #170 published 23 Apr 2020
I had the pleasure of attending CogX’s Festival of AI last week, here’s their primer report on the impact of AI specifically to HR and it’s well worth a scan. Thanks to brainfooder and People Analytics lead for CogX, Ian Bailie, for sending this through. 
Issue #88 published 23 Apr 2020
Accessible report from MMC Ventures & Barclays on the state of AI. For ‘foodies, the headline insight is the smoke and mirrors that is much of AI in HR tech. Worth a download and a read, especially if you’re shopping for tech this year and don’t want to be bedazzled by AI sales speak. 
Issue #126 published 23 Apr 2020
A look at how automation and AI will affect the economy and its people, places, and jobs over the next few decades. Bit of the strange website by Brookings, but there’s enough value in here for it to be worth persevering with. Check it out here
Issue #139 published 23 Apr 2020
The laws of supply/demand apply when you’re building deep tech. This is a great essay from NYT on what you have to do when you really need to recruit near genius to get the job done. 
Issue #57 published 23 Apr 2020
No one in the people business can afford to ignore AI, so this high level interactive guide on AI by McKinsey & Co will come in handy. Great exposition of a complex topic. Thanks to Laurent Garnier for the share.
Issue #117 published 23 Apr 2020
Machines Gone Wrong is a project designed to explore two questions: how humans treat AI and how AI treats humans. It’s a delightful work-in-progress website which makes complex AI conversations accessible to the laity. Essential reading for anyone interested in assessment and bias in AI.
Issue #148 published 23 Apr 2020
Forecast posts should be getting boring right around now, but if you spare 5 minutes for this one, you’ll be delighted. VentureBeat have gathered together some true A-Listers in AI, including the likes of Google AI’s Jeff Dean, PyTorch’s Soumith Chintala, Nvidia ML’s Anima Anandkumar, Kidd Lab’s Celeste Kidd, and IBM Research’s Dario Gil, and asked them about the near future of the discipline. Its a bit technical but recruiters / HR folks will learn a ton here - must read. H/T Kristina Shershun for the share in the fb group (you should probably join this).
Issue #169 published 23 Apr 2020
We’re going heavy with LinkedIn this week. Forget the skeptics and the AI pedants, this post from by Przemek Berendt has just the right balance of high / low level analysis on the topic of AI in recruiting. Probably the best post in this issue, and a must read folks
Issue #103 published 23 Apr 2020
Sometimes asking the right questions is the most important thing to do. Marko Balabanovic does a great job of it here, refocusing the workforce automation threat narrative to a more nuanced view of what roles AI systems will perform in organisations. Will they be managers, co-workers or just tools? Fascinating speculation
Issue #155 published 23 Apr 2020
Wide-ranging applications of data science bring utopian proposals of a world free from bias, but in reality, machine learning models reproduce the inequalities that shape the data they’re fed. Can programmers free their models from prejudice?
Essential content, superbly presented in an interactive website. We all need to look at this, because ‘ubiquitous AI’ will be a thing.
Issue #134 published 23 Apr 2020
Do you know what Bitcoin is? AI doesn’t, as demonstrated in this enthralling mashup of the biggest hype trains happening in recruiting and elsewhere. Added animation and soundtrack, it’s worth a blast folks. 
Issue #85 published 23 Apr 2020
No one doubts the transformation potential of Artificial Intelligence, so we need to be thinking about the demographics of the folks working in it. This report from AI Now gives a great outline as well as practical steps we can take to improve diversity in this critical segment of the workforce. H/T ‘foodie Torin Ellis for the share
Issue #147 published 23 Apr 2020
Machine vision tools like facial recognition are increasingly being used for law enforcement, advertising, and - inevitably - recruiting. It makes sense for us to have a better understanding as to how computers make these categorical decisions, which this interactive explainer post from Pew Research Center does superbly well. Must read
Issue #154 published 23 Apr 2020
Decent article on the direction we need to point our own careers. Andrew Ng, formerly Head of AI at Baidu, might have said it best - anything that takes less than 1 second of reasoning, will be automated. Think more, do less folks. 
Issue #46 published 23 Apr 2020
Fascinating report by Brookings Institute using ‘AI to assess the impact of AI’ - feeding AI patent filings into an ML algorithm and mapping the words onto human tasks. The bad news? It’s highly paid, white collar work which is most at risk. Download the full report here.
Issue #163 published 23 Apr 2020
Outstanding report from CB Insights on the State of AI. Especially interesting: AI penetration per industry segment and role of government in fostering national AI capacity. It’s a race folks, perhaps the most important one not to lose. Must read for everyone here
Issue #97 published 23 Apr 2020
We need to talk about ‘genetic diversity’ folks, because the era of designer human beings is upon us. Fascinating question posed to Genomic Predictions CEO Stephen Hsu who responds that cultural differences will likely result in different responses to genetic manipulation / selection of human beings. This is brainfood folks, so have read here
Issue #144 published 23 Apr 2020
We’ve heard a great deal about ‘algorithmic bias’ but it can be tough concept to fully understand. This interactive game ought to help - its a superbly executed demonstration on how bias in training data manifests in bias in algorithmic decision making. H/T John Rose for the share
Issue #144 published 23 Apr 2020