Arguably, one of the biggest debates happening in data science in 2019 is the need for AI explainability. The ability to interpret machine learning models is turning out to be a defining factor for the acceptance of statistical models for driving business decisions. Enterprise stakeholders are demanding transparency in how and why these algorithms are making specific predictions. A firm understanding of any inherent bias in machine learning keeps boiling up to the top of requirements for data science teams. As a result, many top vendors in the big data ecosystem are launching new tools to take a stab at resolving the challenge of opening the AI "black box." Some organizations have taken the plunge into AI even with the realization that their algorithm's decisions can't be explained.

Additional documents from former special counsel Robert Mueller's report provide a layer of texture to the Russiagate scandal. YOU THOUGHT THE MUELLER REPORT WAS OVER, didn't you? Well, yesterday, BuzzFeed's Jason Leopold -- a level 19 FOIA ninja -- and his colleagues got their hands on detailed summaries of the interviews three Trump aides gave to the FBI, known as "302 reports," along with other documents. And while they don't appreciably change our understanding of the Russiagate scandal, they do add a layer of texture to what we already knew. And even after his firing, he was still in touch with top campaign officials up to Election Day, though campaign'CEO' Steve Bannon warned in an email to Jared Kushner: "We need to avoid this guy like the plague."

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It is incumbent upon business leaders and Australian organisations to put diversity and the ethical implications of artificial intelligence (AI) at the heart of innovation if we're to ensure the world's third major disruptive force is harnessed for human good. That was the big call-out made by Dr Catriona Wallace, founder and executive director of the ASX-listed machine learning tech innovator, Flamingo AI, during this week's CeBIT conference in Sydney. Speaking on the rise of AI and the relationship between humans and machines, the entrepreneur highlighted several facts and figures on the extent of AI impact and innovation over the short and longer-term horizon, as well as the good and negative potential human consequences that come with it. As outlined by Dr Wallace, disruptive technologies, such as AI, are predicted to be the third of three major problems the world is facing that could detrimentally affect humanity. The other two are climate change, and nuclear war.

You've probably heard about Tay, the infamous chatbot developed by Microsoft. It even had its own Twitter account. Unfortunately, it barely lasted a day before it had to be shut down for producing a stream of hateful, racist comments. You're probably also familiar with the Turing Test for assessing machine intelligence based on how well it mimics human intelligence. If he were alive today, Alan Turing might be inclined to revise his criteria.

A coalition of agents, or a single agent, has an ethical dilemma between several statements if each joint action of the coalition forces at least one specific statement among them to be true. For example, any action in the trolley dilemma forces one specific group of people to die. In many cases, agents face ethical dilemmas because they are restricted in the amount of the resources they are ready to sacrifice to overcome the dilemma. The paper presents a sound and complete modal logical system that describes properties of dilemmas for a given limit on a sacrifice.

Google, Facebook and other internet giants would disclose the algorithms they use to return search results under new legislation proposed by US law makers. The bipartisan Filter Bubble Transparency Act also would require the online companies to offer users an unfiltered search option that delivers results without any algorithmic tinkering. Senator John Thune, a Republican from North Dakota, filed the bill on Friday. The legislation was co-sponsored by Republican senators Jerry Moran of Kansas and Marsha blackburn of Tennessee, as well as Democrats Richard Blumenthal of Connecticut and Mark Warner of Virginia. Senator John Thune, a Republican from North Dakota, filed the bipartisan'Filter Bubble Transparency Act,' which would require internet companies to reveal algorithms used to determine online searches The online firm, owned by Alphabet, like other internet companies relies on algorithms - a highly-specific set of instructions to computers - that track users' behavior and location Thune says the legislation is needed because'people are increasingly impatient with the lack of transparency,' on the internet, reports the Wall Street Journal.

If you shop online or occasionally speak to a voice assistant in the morning, you are already embracing the changes this technology has created. Many people are familiar with the advances of autonomous vehicles or facial recognition technology, and some may be curious, or even anxious, about how they will affect safety or privacy. Make no mistake, AI is a transformative technology that is influencing our daily lives and will touch every sector of the global economy. Whether society and government enable or inhibit the AI race, and the extent to which they do so, will be a critical question of the next decade. Regardless of the answer, the technology will forge ahead.

Expensive, complicated, and bureaucratic legal processes constrain the judicial system. They make the wheels of justice grind excruciatingly slow. Thus, the shift to digital justice–by integrating artificial intelligence in the courtroom–is gaining traction. Case in point: Beijing, China, launched an online litigation service for "repetitive basic work". The high-tech facility features a female AI judge.

The technology industry, regulators and privacy advocates continue to debate and push forward the idea that AI development needs to be'responsible and ethical'. However, what that actually looks like - considering so much AI and ML activity is veiled in secrecy - continues to be up for debate. Sure, controls can be put in place, organisations can have strong governance structures, but we are far from an internationally recognised'standard' around how AI should be created and used. This was the topic of debate during a panel at this week's IoT Solutions World Congress in Barcelona, where experts and delegates from industry debated the challenges and pitfalls of developing AI applications and tools ethically. The conversation was one of the more honest ones I've listened to in recent years on the topic. Some conclusions that were drawn included the suggestion that the tech industry should hand over their'black boxes' and trade secrets, and that maybe as a society we should make the decision to just not use some technology.