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An eye on better AI: what important steps we must take today for a brighter digital future


See also our related columns The Turning Point, Techie Tuesdays, and Storybites. Though artificial intelligence (AI) may not surpass human intelligence for at least a few more decades, it opens up opportunities and challenges that we must address today in order to shape a better world for us all. A call to action for business leaders, entrepreneurs, academics, and policymakers is effectively made in Toby Walsh's new book, 2062: The World that AI Made. The rise of AI poses serious philosophical, economic and social questions for all of us, and more vision and collaboration are urgently called for. How many jobs will AI take away or create?

Applications of Differential Privacy to European Privacy Law (GDPR) and Machine Learning


Differential privacy is a data anonymization technique that's used by major technology companies such as Apple and Google. The goal of differential privacy is simple: allow data analysts to build accurate models without sacrificing the privacy of the individual data points. But what does "sacrificing the privacy of the data points" mean? Well, let's think about an example. Suppose I have a dataset that contains information (age, gender, treatment, marriage status, other medical conditions, etc.) about every person who was treated for breast cancer at Hospital X.

5 Foundational Pillars for Ensuring Responsible AI


We are seeing overwhelming growth in AI/ML systems to process oceans of data that are being generated in the new digital economy. However, with this growth, there is a need to seriously consider the ethical and legal implications of AI. As we entrust increasingly more sophisticated and important tasks to AI systems, such as automatic loan approval, for example, we must be absolutely certain that these systems are responsible and trustworthy. Reducing bias in AI has become a massive area of focus for many researchers and has huge ethical implications, as does the amount of autonomy that we give these systems. The concept of Responsible AI is an important framework that can help build trust in your AI deployments.

Artificial intelligence produces data synthetically to help treat diseases like COVID-19 -- FCAI


Data driven technologies and "big data" are revolutionizing many industries. However, in many areas of research – including health and drug development – there is too little data available due to its sensitive nature and the strict protection of individuals. When data are scarce, the conclusions and predictions made by researchers remain uncertain, and the coronavirus outbreak is one of these situations. "When a person gets sick, of course, they want to get the best possible care. Then it would be important to have the best possible methods of personalized healthcare available", says Samuel Kaski, Academy Professor and the Director of the Finnish Center for Artificial Intelligence FCAI.

Revisiting ethical AI - where do organizations need to go next?


After two or three years researching and consulting this burgeoning field, it seems appropriate to compile what I've found so far. This article (actually, it's in two parts) is more of an op-ed than a typical article. Over time, I de-emphasized ethics and moral philosophy as a subject. They aren't necessary to create practical frameworks for producing ethical AL, and they crowded out the prescriptive things that are necessary (and unfortunately still do in the industry). Reviewing my early contributions, and those of others, too, three things are missing: First, there have been substantial developments in AI in the past two or three years, and second, those developments also raised new ethical issues, and third, I did allude to practices and remedies but did not provide a prescriptive framework for resolving these pressing issues.

Inside The World Of AI At IBM Watson Advertising


How significant an impact can we reasonably expect AI to make on digital marketing? Rosy predictions have a knack for either showing up late, floundering or somehow failing to fulfill their promise. At IBM Watson Advertising, CMO Randi Stipes looks at AI as a practical toolset that has been in place for a decade rather than the vague promise of a rosier future. I recently asked Randi to give us an AI update. Paul Talbot: What's happening with AI at IBM that's different from how it's being deployed elsewhere?

Challenges of Responsible AI Development


Their innovative capabilities like computer vision, natural language processing, advanced analytics, etc. enable schools and businesses to create insightful data-driven solutions and contribute to the advancement of the global economy. On top of that, AI is increasingly becoming a part of social initiatives focused on solving the world's most complex problems. As a result, schools, governments and businesses are starting to become more receptive towards AI. At this rate, AI will soon become a central focus of development for several countries. Even so, we cannot disregard the new challenges it will create, like cybersecurity risk, data privacy concerns, data misuse, accidental ramifications, and so on. Modern customers prefer businesses that offer customized solutions for simple convenience.

The new Echo Dot is as impressive as its predecessors

USATODAY - Tech Top Stories

Amazon's Echo Dot started out as a low-cost way to dip your toe in smart home waters, and it remains that, but with upgrades like multi-room audio, stereo pairing, and Amazon Sidewalk compatibility, even seasoned smart home fans have good reason to add a Dot or two to their smart setup. There are three versions of the Dot: the Dot, the Dot with Clock, and the Dot Kids Edition. While the majority of this review will focus on the regular Dot, all of the same features can be found on the Dot with Clock and Kids Edition. The Dot with Clock is exactly what it sounds like. It has a numerical display on the front that shows the time or status of timers you've set.

Maine voters double down on facial recognition ban in win for privacy


Residents of Portland, Maine, can now officially sue the bastards. In a robust show of doubling down on privacy protections, voters in the Maine city passed a measure Tuesday replacing and strengthening an existing ban on city official's use of facial recognition technology. While city employees were already prohibited from using the controversial tech, this new ban also gives residents the right to sue the city for violations and specifies monetary fines the city would have to pay out. Oh yeah, and for some icing on the cake: Under the new law, city officials that violate the ban can be fired. What's more, if a person discovers that "any person or entity acting on behalf of the City of Portland, including any officer, employee, agent, contractor, subcontractor, or vendor" used facial recognition on them, that person is entitled to no less than $100 per violation or $1,000 (whichever is greater).

Responsible AI/ML Alleviates Technological Risks and Security Concerns


Artificial Intelligence (AI) and Machine Learning (ML) is transforming industries and solving important and real-world challenges at a scale. The technology is maturing rapidly with seemingly limitless applications. These vast openings carry with it a deep responsibility to build AI that works for everyone. AI applications have demonstrated its ability to automate daily works while also augmenting human capacity with new insight. However, with great power comes great responsibility.