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First Nation politician voted to council in Timmins hopes to bring fresh

first_imgAnnette FrancisAPTN NewsWhen Kristin Murray threw her hat in for the Timmins’ municipal election, she didn’t expect that she would win the campaign for a councillor position of ward 5.But last Monday that’s exactly what happened during election night.“As the polls were dropping, cuz you could see them there were thirteen polls total and initially I was always in the top two, so I wasn’t sure if I was going to stay there, so I was excited but didn’t wanna get my hopes up and then as the eighth poll dropped, I noticed I was in first place and then as the thirteenth one went in I was like ‘oh my gosh, I topped the polls,’” said Murray.Murray, who is originally from Chapleau Cree First Nation, said two separate incidents involving the Timmins police which resulted in the deaths of  Joey Knapaysweet and Agnes Sutherland made it clear that she had to run.She said she’ll remain true to her campaign promises.“I’m hoping to accomplish a more connected community, I think that there’s so much diversity within our city and that hasn’t been something we focus on really, an engaged community so that’s obviously my number one goal.”Cory Robin is a Cree contender in the same ward as Murray, he ran a close race, but fell two votes short.“We watched each poll come in and at first I was losing for a bit and then i was winning by about five votes as half of them came in and then that last poll came in and I was down by two points,” said Robin.Robin has asked for a recount, which will take place in the council chambers tomorrow., “we’re gonna be looking at the rejected ballots just to make sure they were properly rejected.”Murray will take over her new position in December.afrancis@aptn.ca@aptnafrancislast_img read more

Simple Ways Around Tough Tech Challenges

first_img Risk taking is second nature to most entrepreneurs, but technology issues can make them turn cautious. Too often, business owners believe they don’t have the expertise or financial resources to take full advantage of technology. But by limiting their use of tech, they also limit their growth opportunities in our always-on, always-connected world.Turns out, many of these misgivings about tech may be based on misperceptions. Here are three common misconceptions that your business may need to move beyond to open new pathways for growth and innovation:1. Advanced security protection is too expensive and complicated for most small businesses.Your data is one of your company’s greatest assets, so investing in its security should be a top priority. The good news is that you don’t need a big IT budget because many security measures are free or inexpensive. In many cases, it doesn’t cost a penny extra to regularly download software updates, take advantage of your operating system’s encryption capabilities, enforce the use of strong passwords and use internet browsers with security features.One option is Tinfoil Security, which tests your website for vulnerabilities against virtual attacks. Costs start at $59 per month. Another solution to consider is having a portable, encrypted hard drive such as Western Digital’s My Book Essential, starting around $100 for up to 1.5 Terabytes of storage with automatic, continuous data backup and password protection.Related: Why You Might Need to Rethink Your Internet Security — Now2. Reaching more customers requires an in-house social media genius.You may not be able to afford a social media expert, but that doesn’t mean you can’t use social networks to get the word out about your products and services. Many free, online tools can help you increase your visibility, reach more customers and monitor your social media presence.One of those tools is Brandify, which can help you assess the online strength of your brand. It can help identify simple actions you can take to reach more customers, such as claiming ownership of automatically generated profiles and updating business information in online directories. Brandify can notify you when customers interact with your brand via social networks. And if your company has no social media presence to speak of, it can help you determine the steps required to get started.Another is Monitter, which tracks Twitter mentions of your company, as well as your competition, in real-time for free. Keep this interface open on your Internet browser and you can remain in-the-know as to what people are saying about your product or service and how your competition fits into the picture.For managing multiple online social profiles for your business, try a social media dashboard such as Hootsuite. It offers a free version or a professional version ($9.99 per month) with advanced features such as managing unlimited social profiles and message scheduling.Related: 10 Little Known Social Media Tools You Should Be Using3. Most small businesses can’t afford remote work arrangements.Advances in technology have enabled us to do our work from practically anywhere at any time. Yet, what many entrepreneurs may not know is that providing employees with remote capabilities can be affordable and even preferable to in-house work arrangements. Remote workers are often more productive and satisfied, plus they give business owners access to a larger talent pool.Thanks to the power of cloud computing and the wide range of software available over the Internet, you can cost effectively enable employees to work remotely, sometimes even eliminating the need for physical office space, networking infrastructure and an expensive lease.For instance, programs such as Microsoft Office 365 can give workers online access to a complete set of communication and collaboration tools for $6 per user, per month. And there’s Evernote, which offers a collection of applications to help store and organize information including webpages, photos and text notes. This can make it easier for remote workers to stay connected to the information they need the most, whenever and wherever they need it.Small businesses also can choose from a number of cloud-based solutions designed to make specific workplace tasks more efficient for mobile employees. San Francisco-based Xobni Pro ($45 per user, per year) can help workers develop and maintain their relationships with customers, peers and industry influencers. This cloud-based solution indexes all of your contacts –even those that aren’t in your address book but that you have interacted with over email, SMS or phone calls — through an application that’s available on any mobile operating system.Related: How Cloud Computing Saved My Business Opinions expressed by Entrepreneur contributors are their own. 4 min read Free Webinar | Sept. 9: The Entrepreneur’s Playbook for Going Global July 23, 2012 Growing a business sometimes requires thinking outside the box. Register Now »last_img read more

Is YouTubes AI Algorithm evil

first_imgYouTube is at the center of content creation, content distribution, and advertising activities for some time now. The impact of YouTube can be estimated from the 1.8 billion YouTube users worldwide. While the YouTube video hosting concept has been a great success story for content creators, the video viewing and recommendation model has been in the middle of a brewing controversy lately. The Controversy Logan Paul was already a top rated YouTube star when he stumbled across a hanging dead body in a Japanese forest which is famous as a suicide spot. After the initial shock and awe, Logan Paul seemed quite amused and commented “Dude, his hands are purple,” then he turned to his friends and giggled. “You ever stand next to a dead guy?”. This particular instance was a shocking moment for YouTubers all across the globe. Disapproving reactions had poured in and the video was taken down 24 hours later by YouTube. In those 24 hours, the video managed to garner 6 million views. Even after the furious backlash, users complained that they were still seeing recommendations of Logan Paul’s videos. That brought the emphasis back on the recommendation system that YouTube uses. YouTube Video Recommendation Back in 2005, when YouTube first started out, it had a uniform homepage for all users. This meant that every YouTube user would see the same homepage and the creators who would feature there, would get a huge boost in their viewership. Their selection was based on their subscriber count, views and user engagement metrics e.g. likes, comments, shares etc. This inspired other users to become creators and start contributing content to become a part of the YouTube family. In 2006, YouTube was bought by Google. Their policies and homepage started evolving gradually. As ads started showing on YouTube videos, the scenario changed quite quickly. Also, with the rapid rise in the number of users, Google had thought it to be a good idea to curate the homepage as per each user’s watch history, subscriptions, and likes. This was a good move in principle since it helped the users to see what they wanted to see. As a part of their next level innovation, a machine learning model was created to suggest or recommend videos to users. The goal of this deep neural network based recommendation engine was to increase watch time of every video so that users stay longer on the platform. What did it change and How When Youtube’s machine learning algorithm shows a few videos in your feed as “Recommended for you”, it predicts what you want to see from your watch history and watch history of similar users. If you interact with any of these videos and watch it for a certain amount of time, the recommendation engine considers it as a success and starts curating a list based on your interactions with its suggested videos. The more data it gathers about your choices and watch history, the more confident it becomes of its own video decisions. The major goal of Youtube’s recommendation engine is to attract your attention and get you hooked to the platform to get more watch time. More watch time means more revenue and more scope for targeted ads. What this changes, is the fundamental concept of choice and the exercising of user discretion. The moment the YouTube Algorithm considers watch time as the most important metric to recommend videos to you, less importance goes into the organic interactions on YouTube, which includes liking, commenting and subscribing to videos and channels. Users get to see video recommendations based on the YouTube Algorithm’s user understanding and its goal of maximizing watch time, with less importance given to user choices. Distorted Reality and YouTube This attention maximizing model is the fundamental working mechanism of mostly all social media networks. But YouTube has not been implicated in the accusation of distorting reality and spreading the fake news as much as Facebook has been in mainstream media. But times are changing and so are the viewpoints related to YouTube’s influence on the global population and its ability to manipulate important public opinion. Guillaume Chaslot, a 36-year-old French computer programmer with a Ph.D. in artificial intelligence, was one of those engineers who was in the core team to develop and perfect the YouTube algorithm. In his own words “YouTube is something that looks like reality, but it is distorted to make you spend more time online. The recommendation algorithm is not optimizing for what is truthful, or balanced, or healthy for democracy.” Chaslot explains that the algorithm never stays the same. It is constantly changing the weight it gives to different signals; the viewing patterns of a user, for example, or the length of time a video is watched before someone clicks away.” Chaslot was fired by Google in 2013 over performance issues. His claim was that he wanted to bring about a change in the approach of the YouTube algorithm to make it more aligned with democratic values instead of being devoted to just increasing the watch time. Where are we headed I am not qualified or righteous enough to answer the direct question – is YouTube good or bad. YouTube creates opportunities for millions of creators worldwide to showcase their talent and present it to a global audience without worrying about country or boundaries. This itself is a huge power for an internet application. But the crucial point to remember here is whether YouTube is using this power to just make the users glued to the screen. Do they really care if you are seeing divisive content or prejudiced flat earther conspiracies as recommended videos? The algorithm can be tweaked to include parameters which will remove unintended bias such as whether a video is propagating fake news or influencing voters minds in an unlawful way. But that is near impossible as machines lack morality or empathy or even common sense. To incorporate humane values such as honesty and morality into an AI system is like creating an AI that is more human than a machine. This is why machine augmented human intelligence will play a more and more crucial role in the near future. The possibilities are endless, be it good or bad. Whether we progress or digress, might not be in our hands anymore. But what might be in our hands is to come together to put effective checkpoints to identify and course correct scenarios where algorithms rule wild. Read Next Sex robots, artificial intelligence, and ethics: How desire shapes and is shaped by algorithms Like newspapers, Google algorithms are protected by the First amendment California replaces cash bail with algorithmslast_img read more

IEEE Standards Association releases ethics guidelines for automation and intelligent systems

first_imgIEEE Standards Association (IEEE-SA) released the first version of Ethics guidelines for automation and Intelligent systems, titled “Ethically Aligned Design (EAD): A vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems”, earlier this week. EAD guidelines feature scientific analysis and resources, high-level principles as well as actionable recommendations for ethical implementation of autonomous and intelligent systems (A/IS). “We offer high-level General Principles in Ethically Aligned Design that we consider to be imperatives for creating and operating A/IS that further human values and ensure trustworthiness”, reads EAD. The EAD guideline explains eight high-level ethical principles that can be applied to all types of autonomous and intelligent systems (A/IS), irrespective of whether they are physical robots, software systems or algorithmic chatbots. Eight General Principles in EAD Human Rights As mentioned in EAD, A/IS shall be created and operated in such a way that it respects, promotes, and protects internationally the recognized human rights. These rights should be fully taken into consideration by individuals, companies, research institutions, and governments to reflect the principle that A/IS respects and fulfills the human rights, freedoms, human dignity, and cultural diversity. Well-being EAD states that A/IS creators should focus on improving human well-being as a primary success criterion for development. EAD recommends that A/IS should prioritize human well-being as the outcome in all system designs. It should use the best available and widely accepted “well-being metrics” as their reference point. Data Agency A/IS creators should put more emphasis on empowering individuals with an added ability to access and securely share their data. A/IS creators should focus on maintaining people’s capacity to have control over their identity. Organizations and governments, should test and implement technologies that allow the individuals to specify their online agent for case-by-case authorization decisions. For minors, current guardianship approaches should be implemented to determine their suitability in this context. Effectiveness Creators should provide evidence of the effectiveness and fitness for the purpose of A/IS. EAD recommends that creators engaged in the development of A/IS should focus on defining the metrics to serve as valid and meaningful gauges of the effectiveness of the system. Creators of A/IS should design systems where the metrics on specific deployments of the system can be aggregated to deliver information on the effectiveness of the system across different deployments. Also, industry associations and other organizations (IEEE and ISO) should collaborate to develop standards for reporting on the effectiveness of A/IS. Transparency EAD states that the basis of a particular A/IS decision should always be discoverable. It recommends that new standards should be developed in a way that it describes measurable and testable levels of transparency. Also, these standards would offer designers with a guide for self-assessing transparency during development and suggest mechanisms for improving transparency. Accountability As per EAD, A/IS should be created and operated in a way so that it offers an “unambiguous rationale” for decisions made. EAD states that in order to address the issues of responsibility and Accountability,  courts should clarify the “responsibility, culpability, liability, and accountability” for A/IS prior to the development and deployment. It also states that designers and developers of A/IS should be made aware of the diversity in existing cultural norms among these A/IS. Awareness of Misuse EAD states that creators should offer protection against all potential misuses and risks of A/IS in operation. EAD recommends that creators should be made aware of methods of misuse. It also states that A/IS should be designed in ways that can minimize the opportunity for these systems. Public awareness should be improved surrounding the issues of potential A/IS technology misuse. Competence EAD states that the creators should specify and operators should adhere to the knowledge and skill required for safe operation. It also mentions that the creators of A/IS should clearly specify the types and levels of knowledge required to understand and operate any given application of A/IS. Also, creators of A/IS should provide the affected parties with information on the role of the operator and the implications of operator error. Rich and detailed documentation should be made accessible to the experts and the general public. For more information, check out the official Ethically Aligned Design guidelines Read Next IEEE Computer Society predicts top ten tech trends for 2019: assisted transportation, chatbots, and deep learning accelerators among others What the IEEE 2018 programming languages survey reveals to us 2019 Deloitte tech trends predictions: AI-fueled firms, NoOps, DevSecOps, intelligent interfaces, and morelast_img read more