Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts.
It’s a Wild West out there for artificial intelligence. AI applications are increasingly used to make important decisions about humans’ lives with little to no oversight or accountability. This can have devastating consequences: wrongful arrests, incorrect grades for students, and even financial ruin. Women, marginalized groups, and people of color often bear the brunt of AI’s propensity for error and overreach.
The European Union thinks it has a solution: the mother of all AI laws, called the AI Act. It is the first law that aims to curb these harms by regulating the whole sector. If the EU succeeds, it could set a new global standard for AI oversight around the world.
But the world of EU legislation can be complicated and opaque. Here’s a quick guide to everything you need to know about the EU’s AI Act. The bill is currently being amended by members of the European Parliament and EU countries.
What’s the big deal?
The AI Act is hugely ambitious. It would require extra checks for “high risk” uses of AI that have the most potential to harm people. This could include systems used for grading exams, recruiting employees, or helping judges make decisions about law and justice. The first draft of the bill also includes bans on uses of AI deemed “unacceptable,” such as scoring people on the basis of their perceived trustworthiness.
It must be hard for Joseph Stiglitz to remain an optimist in the face of the grim future he fears may be coming. The Nobel laureate and former chief economist at the World Bank has thought carefully about how artificial intelligence will affect our lives. On the back of the technology, we could build ourselves a richer society and perhaps enjoy a shorter working week, he says. But there are countless pitfalls to avoid on the way. The ones Stiglitz has in mind are hardly trivial. He worries about hamfisted moves that lead to routine exploitation in our daily lives, that leave society more divided than ever and threaten the fundamentals of democracy.
The ACLU is worried about a Kafka-esque near future where police and other government agencies harness the power of facial recognition technologyto identify undocumented migrants, minority activists or individuals joining public protests. As such, the organization is demanding that online retail giant Amazon stop selling “dangerous” face recognition technology to law enforcement, which could potentially help police identify individuals from footage gathered from a variety of sources, including surveillance cameras in public and retail establishments, as well as from police body cameras.
A few times a month, Bassam pushes a shopping cart through the aisles of a grocery store stocked with bags of rice, a small selection of fresh vegetables, and other staples. Today he’s wearing a black sweater tucked into denim jeans, which are themselves tucked into calf-high boots caked in mud. The Tazweed Supermarket, where he’s shopping, is on the periphery of a 75,000-person refugee camp in the semi-arid Jordanian steppe, six and a half miles from the Syrian border.
Advances in artifcial intelligence (AI), deep-learning, and robotics are enabling new military capabilities that will have a disruptive impact on military strategies. The effects of these capabilities will be felt across the spectrum of military requirements – from intelligence, surveillance, and reconnaissance to offense/defense balances and even on to nuclear weapons systems themselves.
In this package, five top experts in AI and its potential uses in autonomous weapons and sensing systems weigh in on the moral and practical challenges of managing the explosion of military AI research and development around the world. The goal: to keep fast-paced advances in machine learning from sparking a worldwide AI arms race that poses a new existential risk to humanity.
The Open Conversational Web” with Open Source AI at Asia’s Leading Open Technology Conference
FOSSASIA teams up with Science Centre Singapore and Lifelong Learning Institute for Asia’s premier open technology summit. The FOSSASIA OpenTechSummit is taking place from March 22-25, 2018 under the tagline “The Open Conversational Web” with a strong focus on Artificial Intelligence and Cloud for the Industry 4.0. More than 200 speakers will fly in to present at the event. International exhibitors will showcase their latest advancements and meet developers in a careers fair.
The FOSSASIA Open Tech Summit is an annual tech event featuring tech icons from around the world since 2009. The event is all about the latest and greatest open source technologies and their impact and applications on business and society. With more than 3,000 attendees the FOSSASIA Summit is the biggest gathering of Open Source developers and businesses in Asia. A great feature of 2018 is the expanded exhibition space where tech businesses, SMEs and startups converge with developers and customers and meet potential candidates in a careers fair. Tiếp tục đọc “FOSSASIA Summit 2018: OpenTechSummit March 22-25, 2018”→
Nếu bạn đang đọc bài này, rất có thể bạn sẽ bắt gặp khái niệm Trí tuệ Nhân tạo – AI/Artificial Intelligent trong các nghiên cứu của mình. Giống như hầu hết các vấn đề thời thượng, có rất nhiều bài viết về chủ đề này chia thành hai loại – tài liệu hoặc giả định một mức độ kiến thức dựa trên khoa học máy tính hoặc thông thường hơn là phần mềm bán hàng được cải trang dạng mỏng mà không truyền tải được nhiều.
Bài báo này dựa trên bài thuyết trình mà tôi trình bày tại Hội nghị thường niên của SCL Viện Kỹ thuật London vào tháng 6 và hy vọng sẽ cung cấp cho những người không có kiến thức và kinh nghiệm (và người có một ít kiến thức) một nền tảng vững chắc để có thể dựa vào đó để có những hiểu biết và đánh giá thực tiễn về những rủi ro pháp lý khi sử dụng trí tuệ nhân tạo. Vì vậy, bài viết sẽ hy vọng sẽ được tiếp cận được với những người có tư duy pháp lý khi quan tâm đến công nghệ này.
lexology_If you’re reading this, the chances are that you will have come across the concept of Artificial Intelligence in your prior researches. Like most issues “du jour“, a lot has been written on the topic which falls into two categories – material either presupposes a level of prior computer- science based knowledge or; more commonly is thinly disguised salesware which doesn’t convey a lot. Tiếp tục đọc “Artificial Intelligence: The Real Legal Issues”→
technologyreview_With so much excitement about progress in artificial intelligence, you may wonder why intelligent machines aren’t already running our lives.
Key advances have the capacity to dazzle the public, policymakers, and investors into believing that human-level machine intelligence may be just around the corner. But a new report (PDF), which tries to gauge actual progress being made, attests that this is far from true. The findings may help inform the discussion over how AI will affect the economy and jobs in the coming years.
“There’s no question there have been a number of breakthroughs in recent years,” says Erik Brynjolfsson, a professor at the MIT Sloan School of Management and one of the authors of the report. “But it’s also clear we are a long way from artificial general intelligence.”
Brynjolfsson points to remarkable advances in image classification and voice recognition. But computers trained to perform these tasks cannot do much else, and they cannot adapt if the nature of the task changes slightly or if they see something completely unfamiliar.
technologyreview_About halfway through a particularly tense game of Go held in Seoul, South Korea, between Lee Sedol, one of the best players of all time, and AlphaGo, an artificial intelligence created by Google, the AI program made a mysterious move that demonstrated an unnerving edge over its human opponent.