By: Hruy Tsegaye
For thousands of years, social inequality has been arguably the most important question in need of an immediate answer. Ironically the question that needs an immediate answer has been with us, unanswered, since the dawn of history. It is one of the major causes of humanity’s integral problems like war, crime, disease, racism, irrationality, etc. Name the problem and you will find inequality either at the root of it, or the fertilizer.
The inequality question is difficult not because of its ideological complexity, rather it becomes the headache of our time, just as it was for our predecessors, because of its impracticability.
By: Hruy Tsegaye
“Poverty can put you in a difficult state of mind, and a difficult state of mind can make it more difficult to escape poverty”. Jamele Rigolini.
1) The weak link in Economics
The science of Economics had always been a mystery for the layman, but the strange thing is Economics has never been an unambiguous discipline even for those who trained to be professional Economists. To make matters more complicated, regardless of our insight into economics, we still live by it!
Let us begin with the weak link of Economics principles. Most principles of economics are built on a simplified model of human behaviour, which the economists call the “homo economicus”. Although John Stuart Mill did not coin the term, the concept of the economic man was first introduced through his famous book, “The Principles of Political Economy”. Moreover, he even defines what the Economic Man is in his essay titled, “On the Definition of Political Economy; and on the Method of Investigation Proper to it”. According to Mill, Political Economy perceives humans from one, a bit narrower, angle: “It is concerned with him [man] solely as a being who desires to possess wealth, and who is capable of judging the comparative efficacy of means for obtaining that end”. (Mill, 2000, p. 137)
It is a concept in many economic theories, which assumes humans as agents with narrowly well-defined self-interest and who have the ability to make judgments toward their subjectively defined ends. The most notable element in this assumption is that the choices of the economic man are marked by rationality. Hence, to most economists and economic principles, the economic man is a rational and profit motivated man.
by: Ben Goertzel
The commercial value of artificial intelligence technology is now increasingly obvious across the board, with large companies in multiple sectors investing billions upon billions. But the importance of AI goes well beyond its direct financial value; there is a fundamental transformative potential here, which cuts at the core of human society, human life and human values.
Major governments and corporations around the world, alongside academic scientists and philosophers, are beginning to ask questions like: Will AIs eventually be more generally intelligent than humans? Will AIs eventually be conscious in the same sense as humans? Will AIs and robots eventually take over all, or nearly all, human jobs? And will this “eventually” perhaps be, not centuries but only decades ahead?
And if we do have powerful, intelligent, self-aware AIs taking on most or all of the tasks now carried out by humans– what values will these AIs use to guide their actions? Will these values be human values, or something different? And if human values– what variety of human values?
High-profile conferences have been convened to address these issues, e.g. the Asilomar AI conference held in California in early 2017 (organized by leaders of the US and UK tech and academic communities), and the UN conference on Beneficial AI, to be held in Europe in mid-2017. All this attention has not provided any definitive answers to these complex and thorny matters, but it has sharpened the issues involved and brought a wider variety of voices into the discussion.
By Senayt Nur
Data mining: the future of the health care system
Collecting data that can be analyzed using patterns and trends dates back to the Bayes’ theorem and ‘regression analysis’ that were used in the 1700s and 1800s respectively. For decades, supercomputers have been used to collect data, analyze market research reports, determine patterns of customer preferences, product usage, and the general demand and supply patterns in order to increase revenue and decrease unnecessary costs.
In plain terms, “data mining is a process of analyzing data from different perspectives and summarizing it into useful information”. Although the technology have been around for a while, advancements in computer’s processing power, disk storage, and statistical software have dramatically increased the accuracy of ‘data analysis’ while driving down it’s cost.
Before digging any deeper into data mining, let me first explain the difference between data and information. Data is collection of any facts, numbers, or text that can be processed by a computer.
By Sanders Olson
African researchers have recently launched the YaNetu teaching tablet crowdfunding project. This effort aims to bring an AI based educational tablet to African children. The researchers hope to create:
– An Android-based teaching tablet for primary school age children in the developing world, with both offline and online applications
– A built-in curriculum, customized with local languages, designed to grow and develop over the years along with the child
– Artificial Intelligence systems, represented by human-like avatars, designed in collaboration with leading American AI researcher Dr. Ben Goertzel. Our AI avatars offer the student not only information and coaching, but also emotional and motivational feedback.
In an interview for Next Big Future with Sander Olson, iCOG researcher Hruy Tsegave describes why he believes that teaching tablets could be an effective and efficient method for providing large numbers of African children with a versatile and compelling teaching tool.
By: Marie Karas-Delcourt
ADDIS ABABA — The black-and-white robot stopped and its eyes, two small red lights, suddenly lit up. Rotating about 90 degrees, it recognized the blue plastic ball a few centimeters away, came forward and kicked it.
“The robot is Chinese, but the processor is made in Ethiopia,” Getnet Aseffa explains. “A student developed it, and within a few months we will organize the first national football competition between robots, in the same vein as the International RoboCup tournament!”
Welcome to the iCog Labs experiment room in the heart of Addis Ababa’s university district. Getnet Aseffa, 28, is one of the brains behind the operation. After graduating in computer science in 2012, this avid reader of futurist author Ray Kurzweil co-created iCog with the help of American researcher Ben Goertzel. It is the first Ethiopian research and development laboratory specializing in artificial intelligence.
By: Erick Vateta
Artificial Intelligence is the next big thing because human beings want most of their thinking done by machines. Ethiopia known for its strong army and beautiful women, but the country is also a home of innovators. The country has placed much emphasis on computer science. However, as the country celebrates their achievement in tech, an artificial intelligence R&D caught fire in Addis Ababa.
The country has many universities and polytechnics that place high emphasis on technology. Over 30 official universities and 130 polytechnics have tech related units. Ministry of Science and Technology established its own university and a $250 million dollar tech park in 2012. Techonomy reports that about 2% of its citizens can access the internet, 4% of Ethiopian children get as far as the equivalent of 9th grade, child labor is at 27% and early marriages is 41%.
By Stephen F. DeAngelis
In “Practical Artificial Intelligence Is Already Changing the World,” I promised to write a follow-on article that discussed why Kevin Kelly (@kevin2kelly), the founding executive editor of Wired magazine, and Irving Wladawsky-Berger, a former IBM employee and strategic advisor to Citigroup, are optimistic about the future of artificial intelligence (AI). In that article I noted that some pundits believe that AI poses a grave threat to humanity while other pundits believe that AI systems are going to be tools that humans can use to improve conditions around them. I also wrote that it would be foolish to predict which school of thought is correct this early in the game.
In the near-term, however, I predicted that those who believe that AI systems are tools to be used by humans are going to be proven correct. Irving Wladawsky-Berger is firmly in that camp and he believes that Kevin Kelly is as well. “What should we expect from this new generation of AI machines and applications?” asks Wladawsky-Berger. “Are they basically the next generation of sophisticated tools enhancing our human capabilities, as was previously the case with electricity, cars, airplanes, computers and the Internet? Or are they radically different from our previous tools because they embody something as fundamentally human as intelligence? Kevin Kelly — as am I — is firmly in the AI-as-a-tool camp.” [“The Future of AI: An Ubiquitous, Invisible, Smart Utility,” The Wall Street Journal, 21 November 2014]M
Wladawsky-Berger bases his conclusion about Kevin Kelly’s beliefs about artificial intelligence (AI) from what Kelly wrote in an article in Wired Magazine. [“The Three Breakthroughs That Have Finally Unleashed AI on the World,” Wired, 27 October 2014] In that article, Kelly writes about IBM’s Watson system and how it is transforming as it learns and about all of the good things that cognitive computing systems can do now and will do in the future. He continues: Read More
Despite setbacks, Ethiopia’s tech economy has been making strides, luring entrepreneurs from throughout Africa and gaining international recognition.
This is due to a mix of increased government support for ICT development and the establishment of start-up incubators and hubs that are creating an ideal landscape for the tech industry to grow.
By Steven Blum
iceaddis co-working space. Image Courtesy of eLearning Africa
Now home to 1,000 members, incubator iceaddis is the first of its kind in Ethiopia, describing itself as: “Collaborative work spaces where aspiring young entrepreneurs, ICT driven individuals, techies, youth and creative individuals can come together to receive business and life skill training, prototyping, technology transfer and enhance their productivity and, ultimately, form viable and sustainable business plans for the future.”
Easily drawing comparisons to other tech hubs in the region, like Nairobi’s iHub – which now has over 16,000 members – or Uganda’s Hive Colab, iceaddis grew organically, starting with small events and workshops.
According to iceaddis member Markos Lemma, in Ethiopia “there is high potential for techies to develop applications and technical solutions.”
By Christina Galbraith
Young Ethiopian with robot whose AI software was created in his country.
Ethiopia has come a long way from its nightmare past of famine and war. It still has splendid 12th century rock churches carved into the ground, the plateaued Simian Mountains, the ancient city of Gondar and of course, the human ancestral fossil Lucy, its oldest hominid ambassador. But now computer science is thriving in its capital, Addis Ababa. And Ethiopian artificial intelligence R&D is on fire.
The driver for this unexpected artificial intelligence (AI) industry sector is the autocratic government’s massive multi-billion dollar, ultra-high tech, industrial plans and its fervent development of higher education to support them. Today, there are over 30 official universities and 130 or so polytechnics, most of them emphasizing technology. Many of them are in the capital and, in 2012, the Ministry of Science and Technology established its own university and a $250 million dollar tech park nearby.