Winning in a potential “post work” world.
AI – your co-worker or competitor? What does the future of work look like in 2025?
Joe Lonsdale, Founder of Palantir and Founding partner at 8VC proposed 12 jobs of the future in this morning’s Wired. Some like Yuval Noah Harari author of Sapiens believes AI will create a ‘useless class’ of humans.
On the 20th of June we will be giving evidence at the All-Party Parliamentary Group on Artificial Intelligence (APPG AI) Future of the Office: the next industrial revolution session. We are there to
represent you so please give us your thoughts in this form here.
Jeff Bezos’ annual open letter to Amazon shareholders garners widespread interest every year for good reason. Insightful and thought-provoking, the business mogul who spotted how the internet could change retail talks this year about machine learning and AI. “Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, and
Accelerating startups since 2012 the Dutch based program
has launched an AI specific track they call “Europe’s First AI Accelerator”. Backed by Amazon, Google and IBM Rockstart has some impressive stats across the three pre-existing verticals with 75% of businesses that pass through the accelerator receiving further funding. Applications can be submitted from May so get writing.
There has been a tectonic funnelling of advertising dollars to Facebook and Google because they each collect an enormous amount of user data and can theoretically serve ads to targeted audiences. Last year the EU passed a sweeping set of data privacy rules called General Data Protection Regulation (GDPR). The new rules will require all companies serving EU residents to get explicit permission from those users for ad-targeting
purposes. Companies that violate the rules could end up paying out as much as 4% of their worldwide revenue.
Kriti Sharma, VP of Bots & AI for Sage Group gives her view on the most urgent issues in AI. We need to design robots and AI with a complementary compliance framework to govern their interactions with humans in the workplace, including a code of conduct for robots that mirrors the professional standards we expect from people.
Before we think about taxing robots and AI, we need to get the basics of the self-learning technology right, and develop comprehensive ethical standards that hold up for the long term.
Zeroth is accelerator program which has just opened applications for its second programme (in Tokyo) that is out to fix the lack of talent, and investment options, for AI in Asia. The accelerator, which is Asia’s first dedicated to AI & machine learning, will take 20 companies per batch and offer up to $120,000 in optional funding.
You can’t just look inside a deep neural network to see how it works. A network’s reasoning is embedded in the behavior of thousands of simulated neurons, arranged into dozens or even hundreds of intricately interconnected layers. How should we take decisions when we don’t fully understand the decision making process?
The words we use and our writing styles can reveal information about our preferences, thoughts, emotions and behaviours. Using this information, a new study from the University of Eastern Finland has developed machine learning models that can detect antisocial behaviours, such as hate speech and indications of violence, from texts.
The fear that robots will soon take your jobs has a grain of truth to it – however, the future paves the way for more jobs for humans, based in technological innovation. Jon Lonsdale, Partner at 8VC presents 12 Jobs of the Future and delves deep into the fears that many have when discussing the impact of AI, the future of work and society.
Want a pair of glasses which can trick an AI into thinking you’re the Pope or anyone you like? Last year, researchers were able to fool a commercial facial recognition system by creating a sticker overlay with a hallucinogenic print which was stuck onto the frames of the specs. This article delves deeper into adversarial machine learning alongside some funny results from their research.