Slack’s new policy lets bosses read employees’ DMs without consent

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If your company uses Slack for group communication, you might want to watch what you say in Direct Messages with your colleagues: the app now lets administrators export all the data shared through it, including those private conversations – without notifying you. That’s thanks to an updated privacy policy and tools that help Slack comply with GDPR rules; they grant customers on Slack’s Plus and Enterprise Grid plans access to a self-service tool for exporting data from all public and private channels. This functionality was previously available too, but it used to notify users when it was turned on, so…

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OnePlus 6 specs rumored to include 8GB of RAM, 256GB of storage

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OnePlus 6 photos leak

Info on the OnePlus 6 began trickling out earlier this month, and now a few more details of the device may have leaked out.

An image is making the rounds on Chinese social networking site Weibo that claims to have some spec details on the OnePlus 6. The device is listed as having a Snapdragon 845, just like a previous rumor, as well as 8GB of RAM, 256GB of storage, 16MP and 20MP rear cameras, and a 6.2-inch screen.

OnePlus 6 specs leak

There’s also a price of $ 749 listed for the OnePlus 6 in this image, but it’s unclear what currency that is.

This leak is still very much unconfirmed, but they definitely sound plausible for a new OnePlus flagship. The Snapdragon 845 is Qualcomm’s new flagship processor, and OnePlus has used previous 800-series chipsets in its flagship phones. Also, OnePlus has already sold a OnePlus 5T with 8GB of RAM, so it could do it again with the OnePlus 6.

Based on what we’ve heard about it so far, are you excited for the OnePlus 6? – Latest videos, reviews, articles, news and posts

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AI regulation and ethics: How to build human-centric AI

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As debates rage across the world about the growing impact of AI, data analytics, and autonomous systems, Joanna Goodman was invited to sit in on an all-party Parliamentary panel of experts. This is her report.

“However autonomous our technology becomes, its impact on the world – for better or worse – will always be our responsibility.” Those are the words of Professor Fei-Fei Li, director of the Stanford Artificial Intelligence Lab, and chief scientist for AI research at Google Cloud.

Professor Li’s vision of ‘human-centred’ AI was reflected in the third evidence session of the all-party parliamentary group on AI (APPG) at the House of Lords this month. It considered ethics and accountability in the context of managing and regulating AI, as the technology moves into more and more aspects of our lives. The UK government also established an Office for AI earlier this year.

Since then, we have seen the Cambridge Analytica Facebook ‘breach’ unfold, while a driverless Uber car killed a pedestrian in Arizona, where autonomous vehicles are being tested on public roads. These and other stories – such as the problem of bias entering some AI systems – have led to more calls for ‘vigilance’ and tighter regulation.

Read more: Cambridge Analytica vs Facebook: Why AI laws are inadequate

Read more: Uber halts self-driving car tests after pedestrian is killed

The APPG considered three questions about AI and human responsibility:

• How do we make ethics part of business decision-making processes?
• How do we assign responsibility for algorithms?
• What auditing bodies can monitor the ecosystem?

Tracey Groves, founder and director of Intelligent Ethics – an organisation dedicated to optimising ethical performance in business – discussed the importance of education, empowerment, and excellence in relation to AI, and suggested the following approaches to achieving all three.

Education, empowerment, excellence

Education is about leadership development, mentoring, and coaching, she said, and about awareness training to promote the importance of ethical decision-making.

Empowerment involves building a trustworthy culture, by aligning an organisation’s values with its strategic goals and objectives, and establishing “intelligent accountability”.

Finally, achieving excellence means identifying the key performance indicators of ethical conduct and culture, she said, and then monitoring progress and actively measuring performance.

Groves highlighted inclusivity as a critical success factor in ethical decision-making, along with giving people the ability to seek redress when AI gets things wrong.

Finally, she emphasised that managing risks associated with AI software is not just the responsibility of government and regulation; all businesses need to establish ethical values that can be measured, she said. Regulation will require businesses to be accountable, she added, and – potentially – penalise them if they are not.

Building responsibility

Aldous Birchall, head of financial services AI at PwC, focused on the topic of machine learning. He advocated building responsibility into AI software, and developing common standards and sensible regulations.

Machine learning moves software to the heart of the business, he explained. AI presents exciting new opportunities, which tech companies pursue with the best intentions, but insufficient thought is given to the societal impact.

“Engineers focus on outcomes and businesses focus on decisions,” he said, adding that machine learning and AI training should include ethics and a clear understanding of how algorithms impact society.

Some companies may appoint an ethics committee, he said, while others may introduce new designations or roles to manage risk, and risk awareness. The scalability of software systems means that problems can escalate quickly too, he added.

Birchall believes that assigning human responsibility for algorithms, if AI goes wrong or is applied incorrectly or inappropriately, must be about establishing a chain of causality. Ownership brings responsibility, he said.

Birchall suggested that something like an MOT for autonomous vehicles could be a workable solution. AI use cases are narrow, as algorithms handle a well-defined set of tasks, he said.

Monitoring and regulation need to be industry specific, he concluded. For example, financial services AI and healthcare AI raise completely different issues and therefore require different safeguards.

Regulating AI

Birchall offered four suggestions for how AI might be regulated:-

• Adapt engineering standards to AI
• Train AI engineers about risk
• Engage and train organisations to consider the risks, as well as the benefits
• Give existing regulatory bodies a remit over AI too.

Robbie Stamp, chief executive at strategic consultancy Bioss International, reminded the APPG that AI cannot be ethical in itself because it does not have “skin in the game”. Ethical AI governance is all about human accountability, he said.

“As we navigate emergence and uncertainty, governance should be based on understanding key boundaries in relation to the work we ask AI to do, rather than on hard and fast rules,” said Stamp. He flagged up the Bioss AI Protocol, an ethical governance framework that tracks the evolving relationship between human and machine judgement and decision-making.

Automation compromises data quality

Sofia Olhede, director of UCL’s Centre for Data Science, highlighted how automated data collection compromises data quality and validity, leading to biased algorithmic decision-making.

Most algorithms are developed to deliver average outcomes, she said. These may be sufficient in some contexts – such as for making purchasing recommendations – but they may be completely inadequate when the consequences are life-changing or business-critical.

“Algorithmic bias threatens AI credibility and fuels inequalities,” said Olhede, adding that because algorithms learn from the data they have been exposed to, they reflect any human and/or historical bias in that data. And if data is collected ubiquitously, its biases may not reflect societal norms. Therefore, it is important to establish standards for data curation.

Otherwise, for example, a potential bias in favour of those who adopt technology – and therefore produce more data – may impact negatively on other groups, such as the elderly or anyone who makes minimal use of digital systems.

On the subject of ethics, Olhede expressed her hopes for standard-setting. “Many companies are establishing internal ethics boards, but rather than having these spring up like mushrooms, we need common principles about their purpose,” she said.

Achievements versus risks

Tom Morrison-Bell, government affairs manager at Microsoft, highlighted the achievements and potential of AI technology. For example, Microsoft’s Seeing AI app helps visually impaired people to manage human interactions by describing people and reading expressions.

However, he doesn’t underestimate the ethical risks: “Whatever the benefits and opportunities of AI, if the public don’t trust it, it’s not going to happen,” he said.

The debate moved on to whether algorithmic transparency would provide greater reassurance and encourage trust. “Most companies are working to become more transparent. They don’t want AI black boxes,” said Birchall.

“If an algorithm leads to a decision being made about someone, they have a right to an explanation. But what do we mean by an explanation?” asked Olhede, adding that not all algorithms are easily explainable or understood.

Internet of Business says

This, then, is the critical problem. So the underlying question is: how much transparency and control is required to establish trustworthy AI?

As Groves observed, it is possible to trust technology without knowing exactly how it works. As a result, most people need to understand the implications of AI and algorithms rather than the technology itself – rather than whatever is in the black box, in other words. They need to be aware of the potential risks and understand what those mean for them.

This is particularly critical when even scientists and developers in the field don’t understand how some black-box neural networks have arrived at decisions – according to a UK-RAS presentation at UK Robotics Week last year.

Professor Gillian Hadfield, author of Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy, believes we may simply be asking the wrong questions.

“How do we build AI that’s safe and valuable and reflects societal norms, rather than exposing patterns of behaviour?” she asks. “Perhaps instead of discussing what AI should be allowed to do, we should involve social scientists in considering how to build AI that can understand and participate in our rules.”

• The debate took place in a private committee room Parliament on 12 March 2018.

 Joanna Goodman is a freelance journalist who writes about business and technology for national publications, including The Guardian newspaper and the Law Society Gazette, where she is IT columnist. Her book Robots in Law: How Artificial Intelligence is Transforming Legal Services was published in 2016.

More from Joanna on Internet of Business:

Read more: Women in tech: the £150bn advantage of increasing diversity

Read more: Women in AI & IoT: Why it’s vital to Re•Work the gender balance

The post AI regulation and ethics: How to build human-centric AI appeared first on Internet of Business.

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OnePlus 6 Featuring 8GB RAM, 256GB Storage, iPhone X-Like Notch Will Cost $749

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OnePlus 6 price and specs have been revealed in new alleged leak, with OnePlus continuing to increase its pricing with every release.

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Chrome to completely block videos from autoplaying with sound

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Google Chrome stopped autoplaying videos with sound on specific websites with a right-click option when version 64 was launched. Today the company posted the code, introducing a new set of criteria that sites should meet in order to be able to play videos with sound. The list is so long that practically no tab will autoplay with sound once Chrome 66 is released. According to Chromium Blog, the user must have tapped or clicked on the site while browsing in order to begin autoplay with sound. On mobile, the site has to have been added to the Home Screen. Desktop users has to have… – Latest articles

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Colorful New Apple Watch Bands Are Here Just in Time for Spring

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Things just got a little more colorful for owners of the Apple Watch. On Wednesday, Apple announced its spring collection with more than 20 new Apple Watch bands. Apple recently added winter sports tracking to Series 3. And earlier this month celebrated International Women’s Day. Now they’re getting ready for spring. The new varieties will […]
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[Update: Fix in coming weeks] Android 8.1 update for 2016 Pixel XL causes a potentially dangerous overcurrent charging bug

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Generally speaking, updates remove bugs, but in the case of Google’s 2016 Pixel XL, a new problem was introduced with the Android 8.1 update this January. When charging in certain circumstances, the OG Pixel XL will (dangerously) attempt to pull up to 40% more current than it has negotiated from the charger, repeatedly entering and leaving a charging state as the charger shuts off due to overcurrent protection.

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[Update: Fix in coming weeks] Android 8.1 update for 2016 Pixel XL causes a potentially dangerous overcurrent charging bug was written by the awesome team at Android Police.

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TWSaveDM lets you save video files from direct messages in the Twitter app

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Twitter’s direct messaging system lets you send and receive media, such as photos and videos. You can tap and hold on any photo file you receive to uncover save and share options, but the same can’t be said about video files.

If you’d like to change that about your Twitter direct messaging experience, then you might be interested in a new free jailbreak tweak dubbed TWSaveDM by iOS developer fahadaljuwausri. With this tweak, you can easily save any media file you receive in a Twitter-based direct message…. Read the rest of this post here

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Jabra brings noise cancellation to its behind-the-neck earbuds

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Do you like the concept of Apple's BeatsX earbuds, but want something that's better at shutting out external noise and taking phone calls? Jabra might have your fix. It's expanding its Elite earbud line with the 65e, which brings active noise cance…
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Apple Pay collection plate being considered by the Church of England

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Looking to modernize, over 16,000 churches belonging to the Church of England are beginning to accept Apple Pay and Google Pay from congregations.
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