Depending on to whom you listen, automation, robotics, and artificial intelligence (AI) will either solve all our problems or end the human race. Sometime in the near future, machine intelligence is predicted to surpass human intelligence, a point in time known as “the singularity.” Whether the rise of the machines is an existential threat to mankind or not, I believe that there is a more mundane issue: robots are currently being used to automate production.
These are some of the views and reports relevant to our readers that caught our attention this week.
Recurring Storms: Food Insecurity, Political Instability, and Conflict
Center for Strategic and International Studies
Renewed and expanded international collaboration to anticipate and prepare for recurring storms of food insecurity is essential. Afghanistan, Nigeria, and Syria are examples that vividly underscore the explosiveness of situations in which people find themselves unable to get the food they want and need. The experiences of post-conflict countries highlight some critical issues that need to be prioritized in order to regain sustainable food security. Averting future storms will require the recognition that food security challenges will extend long beyond 2030, political leadership must be visibly committed to these issues, and actions to reduce fragmentation of effort will be critical.
World Radio Day
RADIO remains the most dynamic and engaging mediums in the 21st century, offering new ways to interact and participate. This powerful communication tool and low-cost medium can reach the widest audience, including remote communities and vulnerable people such as the illiterate, the disabled, women, youth and the poor. Radio offers these communities a platform to intervene in public debate, irrespective of their educational level. It provides an opportunity to participate in policy and decision-making processes, and to protect and promote the diversity of cultural expression. The impact of radio is at different levels: it is an essential tool in times of disaster management as an effective medium to reach affected people when other means of communication are disrupted; it is a way of promoting gender equality by providing rural women access to knowledge and support; finally, it is inclusive, engaging youth in the media as catalysts of change.
Is this time really different? That’s the argument whenever people want to ignore the lessons of history (eg arguing that this particular financial bubble/commodity boom will never burst) and such claims usually merit a bucketload of scepticism. On the other hand (climate change, nuclear war) sometimes things really are different from everything that has gone before.
Which brings us to technology. Lots of musings are circulating about the rise of Artificial Intelligence, automation etc. Driverless cars will put millions of drivers out of work. Robots will kill off manufacturing jobs. Everything will change.
At the World Economic Forum, Klaus Schwab talks of ‘the fourth industrial revolution’. The bible is the Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies, a 2014 book by Erik Brynjolfsson and Andrew McAfee. Even President Obama has caught the bug, in a recent profile in the New Yorker
‘At some point, when the problem is not just Uber but driverless Uber, when radiologists are losing their jobs to A.I., then we’re going to have to figure out how do we maintain a cohesive society and a cohesive democracy in which productivity and wealth generation are not automatically linked to how many hours you put in, where the links between production and distribution are broken.’
Which all raises a whole series of questions – is it true? If so, is that a Good/Bad Thing and for whom? Much too substantial for a blog post, but here are a few thoughts and links.
Globally, more and more people are embracing the sharing or platform economy. Some estimate that the sector’s revenues will increase to $335 billion globally by 2025. According to the Future Jobs Survey, conducted by the World Economic Forum, among top technological drivers of industrial change by 2020, the sharing economy, crowdsourcing takes the fifth place, with mobile internet, cloud technology taking the lead.
So what will the impact of these drivers be on the industries? Will there be new industries born as a result of these transformations? If so, will we be able and ready to respond to those changes? Will we have necessary skill sets to compete in the work force? Future holds both opportunities and challenges for industries, corporations, governments, and others concerned with the technological advancements.
What exactly is the sharing economy? Are you using some of its platforms? Do you benefit from their services?
AlphaGo, Google’s DeepMind Artificial Intelligence (AI) program for Go game, recently beat the world’s top ranked Korean grandmaster Lee Se-dol in a five-game Go match in Seoul. Lee’s defeat by 4-1 turned into a shock for the Korean public and quickly spurred a major discussion on the state of Artificial Intelligence development and its broader impact on society. In response to the soaring public attention, the Korean Ministry of Science, ICT and Future Planning (MSIP) has laid out the Artificial Intelligence Information Industry Development Strategy, which aims to strengthen the foundation for AI growth.
“There is no denying that advances in science and technology have brought us prosperity and improved our lives tremendously … but there is a flip side: some of the advances that may lie ahead of us can actually make us worse off, a lot worse.”
- Olle Häggström, a professor of mathematical statistics and head of the mathematical statistics division at the University of Gothenburg, Sweden. He works with research, research supervision, teaching and popular science. His main research interest is probability theory, where his goal is to understand how the behavior of a system consisting of very many small components depends on the properties of the components. His other intellectual interests include philosophy, climate science and futurology.
This blog is the second of the series of a year-long skills transfer discussion/blog series on technology aided gut (TAG) checks. We use an interactive and just in time learning strategy to help you learn to do TAG checks on your data.
Many of us fondly remember from our school (and college) days the best and the most inspiring teachers always told us that "there are no bad questions". No matter how silly our questions were, the best teachers always had the talent to transform an uninformed question into a learning experience. Even in the age of AI (Artificial Intelligence) that quality is still uniquely human (Google or even IBM’s Watson are not there yet)! So, for an adult learner, who is using online resources to learn technical skills, asking the right question is important. If you don’t ask the right question, the Internet will not give you an answer. Even worse than not getting an answer, you may get the wrong answer. This blog is all about asking the right question. More specifically, this blog is about coming up with precise and specific search queries when you are searching online resources to further your knowledge or solve a specific problem.
The Internet is the world's largest knowledge repository, but it is still far from becoming a one-stop knowledge shop. We still need a vast education industry (in the US, it is close to a trillion dollars) consisting of teachers, mentors, training, schools/colleges etc. Unlike machines, and, by extension, unlike the Internet, we humans have an unequalled capability to deal with ambiguity. We do not need to always work under a precise set of rules. We also have a propensity to be ambiguous in framing our questions. Therefore, we need expensive human intervention to remove the ambiguity factor from the human-to-machine knowledge loop.
In the physical world, there is a high level of interactivity between the asker of a question and the human provider. This interactivity- coupled with the human ability to deal with ambiguity- helps refine the question by making it precise enough to answer. On the Web, such interactivity is much harder to attain.
New developments and curiosities from a changing global media landscape: People, Spaces, Deliberation brings trends and events to your attention that illustrate that tomorrow's media environment will look very different from today's, and will have little resemblance to yesterday's.
Imagine watching a commercial, and the TV or mobile phone on which you are watching immediately knows if you’d like to buy the product being advertised. Imagine feeling stressed out while driving, and your car automatically starts talking to you and adjusting the air and radio controls. Or imagine a video or film that changes the storyline based on your reactions to characters. This is the future, in which devices react not just to our behavioral and physiological clues, but also to our emotions.
Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human the emotional states of humans. It is an interdisciplinary field spanning computer science, psychology, and cognitive science.
Most of the software in the field of affective tracks emotions, like happiness, confusion, surprise, and disgust, by scanning an environment for a face and identifying the face’s main regions—mouth, nose, eyes, eyebrows. The software then ascribes points to each and tracks how other points move in relation to one another. Shifts in the texture of skin, such as wrinkles, are also tracked and combined with the information on facial points. Finally, the software identifies an expression by comparing it with those it has previously analyzed.
In 1965, Gordon Moore — co-founder of Intel Corporation — hypothesized that the number of transistors on an integrated circuit will double every 18 to 24 months. This came to be known as Moore’s Law, the ramifications of which are hard to ignore in almost any aspect of our everyday lives. Information has become more accessible to people at lower costs. Today’s work force is globalized and there are few domains that are still untouched by technology.
Yet the very ubiquitous and rapidly evolving nature of information and communication technologies (ICTs) gives rise to fears of displacing more workers and potentially widening the economic gap between the rich and poor. Technological evolution and artificial intelligence are fast redefining the conventional structure of our society.
- Artificial Intelligence
- wage stagnation
- inequality and shared prosperity
- Income Inequality
- information and communication for development (ICT4D)
- jobs market
- Private Sector Development
- Labor and Social Protection
- Information and Communication Technologies
- The World Region
“In diplomacy, national interests set the stage, but human emotions determine the script. The longer the negotiations take, the more sympathy, love, rancor, jealousy and exasperation come into play. It’s the one profession that robots are least likely to take over.” (FT 20 June/21 June 2015, “Months of Greek debt talks yield bad blood but no deal”).
In other words, if your job involves understanding and working with, and through, human emotions, then it is reasonably safe from the growing imperialism of robots. When I read that, I chuckled. Then the thought hit me: if that is the yardstick maybe the business I am in – the business of aligning stakeholders, winning friends and influencing people – is also one that robots are least likely to take over. Let me explain.