Aside from the immature design of many AI applications, another ethical pitfall presents itself in the way we are using these applications. We are designing AI for tasks that could (and should) be done by humans and neglecting to use AI where it is urgently needed -- namely, in repairing our online ecosystem. It is human nature to have opinions. Many of pride ourselves on the fact-based nature of our opinions -- whether they be based on news stories, personal experience, a book we read recently, etc. However, even the strongest opinions are subject to bias, and it is becoming easier than ever to bias our opinions through social media.

Recently, I've curated a list of 50 Finnish startups in the field of AI & Machine Learning for those who are looking for business partners or companies to invest in. If you are an international investor who wants to connect with one of the startups, feel free to drop me a message. I can make the intro and provide the companies' investor pitch deck to you if it is available. You can also use Finder.fi to check the company's revenue development. If you are an ambitious entrepreneur (based in Finland) who is working on the next world-changing idea and is looking for funding, let's meet! I'll be happy to discuss how we can help you with the fundraising process (for free). Most of the following information is from the company website. But if you've spotted an error, please let me know and I will revise accordingly. "AISpotter has developed a time-saving, fast service for coaches all around the world. Our goal is to combine high-end technology and sports of any kind. With real-time analysis, coaches and teams are given the power to be one step ahead in team development." "We've taken over 30 years of recognized University of Oulu Machine Vision Group technology and adapted it to improve your sports game. By combining state-of-the-art machine learning and computer vision in our unique way, we provide automatic and fast analysis service for your game."

When even the companies developing AI themselves agree with the need for regulation, it is time to stop discussing abstract principles and get down to the business of how to regulate a rapidly advancing technology landscape. It is clear that our regulatory system needs an update. If we try to regulate 21st century technology and beyond with 20th century tools, we'll get none of the benefits of regulation and all of the downsides. So, if we need to reinvent the rules to keep pace with the technological change advanced by the likes of Google, Amazon, and Facebook, where do we start? Google's Sundar Pichai is right that technology companies cannot simply build AI and leave it to the will of the market. But what we can do is try to use the best traits of markets -- competition, transparency, rapid iteration -- to reform our regulatory system.

NXP Semiconductors enables secure connections and infrastructure for a smarter world, advancing solutions that make lives easier, better and safer. As the world leader in secure connectivity solutions for embedded applications, we are driving innovation in the secure connected vehicle, end-to-end security & privacy and smart connected solutions markets. NXP's Automotive business unit offers sensor and processing technology that drives all aspects of the secure connected cars of today and the autonomous cars of tomorrow. Job Summary: A 2017 summer internship Projects include: Detecting defective product outliers by applying statistical methods and machine learning algorithms to evaluate test data Analyze customer product returns through statistical methods and algorithms to determine preventive actions Develop a compilation of self-checking microcontroller flash tests that can be automated to run in its entirety or individually for bench evaluation board applications Job Qualifications: Working on a BS or MS in Electrical Engineering or Computer Science/Engineering Software: Python and C Solid understanding of Statistics and Machine learning Other skills will be supported through on the job training NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

We've visited the topic of fairness in the context of machine learning several times on The Morning Paper (see e.g. I'm still picking up new insights every time I revisit the topic though, and today's paper choice is no exception. In 1911 Russell & Whitehead published Principia Mathematica, with the goal of providing a solid foundation for all of mathematics. In 1931 Gödel's Incompleteness Theorem shattered the dream, showing that for any consistent axiomatic system there will always be theorems that cannot be proven within the system. In case you're wondering where on earth I'm going with this… it's a very stretched analogy I've been playing with in my mind.

The humanities-led network will build on research in AI ethics, orienting it around practical issues of social justice, distribution, governance and design, and seek to inform the development of policy and practice. The JUST AI network will connect researchers and practitioners from across philosophy, law, media and communications, human-computer interaction, ethnography, user-centred design, data science, computer sciences and social sciences. It will begin by mapping the landscape and identifying opportunities to join up research across disciplines. It will deliver a programme of activity to include workshops, written and creative outputs and peer-reviewed articles, and lay the foundations for future multidisciplinary research collaborations. Research and debate about the ethical and social risks and impacts of data and AI is often focussed on either abstract principles such as fairness, transparency and rights, or on purely technical approaches.

The trustworthiness of data science systems in applied and real-world settings emerges from the resolution of specific tensions through situated, pragmatic, and ongoing forms of work. Drawing on research in CSCW, critical data studies, and history and sociology of science, and six months of immersive ethnographic fieldwork with a corporate data science team, we describe four common tensions in applied data science work: (un)equivocal numbers, (counter)intuitive knowledge, (in)credible data, and (in)scrutable models. We show how organizational actors establish and re-negotiate trust under messy and uncertain analytic conditions through practices of skepticism, assessment, and credibility. Highlighting the collaborative and heterogeneous nature of real-world data science, we show how the management of trust in applied corporate data science settings depends not only on pre-processing and quantification, but also on negotiation and translation. We conclude by discussing the implications of our findings for data science research and practice, both within and beyond CSCW.

Time is ripe for legislation containing compulsory'pre-litigation mediation': CJI NEW DELHI: Chief Justice of India S A Bobde on Saturday said the time is ripe to devise a comprehensive legislation which contains "compulsory pre-litigation mediation" that would ensure efficiency and reduce the time of pendency for parties as well as courts. Speaking at the 3rd edition of of an international conference on'Arbitration in the Era of Globalisation', Justice Bobde said a robust "arbitration bar" is critical to the development of institutional arbitration in India as it would ensure availability and accessibility of practitioners with knowledge and experience. Justice Bobde said that today arbitration plays an essential role in the global infrastructure of international trade, commerce and investment and as an integral member of the global community and a trading and investment giant, how India engages with international arbitration has important ramifications on international trans-boundary flows of trade, commerce and investments as a whole. "The pre-institution mediation and settlement as mentioned in the Commercial Courts Act would pave the way for many more institutions to emphasize on the need of pre-litigation mediation considering its very many benefits. "I think the time is ripe to devise a comprehensive legislation which contains compulsory pre-litigation mediation and a remedy for the biggest drawback in a mediation agreement that is to say the unenforceability of an agreement arrived at a mediation would ensure efficiency and also reduce the time pendency for parties as well as the courts," he said. While talking about India's role in international arbitration, Justice Bobde said, "In recent times, globalisation has led to the dramatic growth in cross-border transactions involving India, which has led to an increasing demand for cross-border arbitration.

This publication is made pursuant to Point 3.1 of Annex 1 to Financial Regulation 2018 that provides for an ex-ante publication on the Institutions' websites of contracts with a value up to 138 999,99 EUR. The European Commission will launch soon a call for tenders for a service contract of a maximum value of EUR 50 000. The duration of the tasks will be 6 months. Full details about the tender specifications are provided as an Annex. No evaluation is performed at this stage.

True collectors are fascinating people; they're smart and persistent. As time goes on, everyday objects fall out of fashion and then, years later, clever collectors swoop in. Scouring the auction sites is a good way to find valuables and evaluate treasures. Tap or click here for 5 sneaky eBay scams to watch out for. When you're ready to look beyond eBay, I have you covered with links to government, law enforcement and Department of Treasury auctions.