Been there, ate that, paid cash.
https://krebsonsecurity.com/2020/10/breach-at-dickeys-bbq-smokes-3m-cards/
Breach at Dickey’s BBQ Smokes 3M Cards
One of the digital underground’s most popular stores for peddling stolen credit card information began selling a batch of more than three million new card records this week. KrebsOnSecurity has learned the data was stolen in a lengthy data breach at more than 100 Dickey’s Barbeque Restaurant locations around the country.
On Monday, the carding bazaar Joker’s Stash debuted “BlazingSun,” a new batch of more than three million stolen card records, advertising “valid rates” of between 90-100 percent. This is typically an indicator that the breached merchant is either unaware of the compromise or has only just begun responding to it.
Worth reading, but clearly not a quick fix.
https://hbr.org/2020/10/a-practical-guide-to-building-ethical-ai
A Practical Guide to Building Ethical AI
Companies are leveraging data and artificial intelligence to create scalable solutions — but they’re also scaling their reputational, regulatory, and legal risks. For instance, Los Angeles is suing IBM for allegedly misappropriating data it collected with its ubiquitous weather app. Optum is being investigated by regulators for creating an algorithm that allegedly recommended that doctors and nurses pay more attention to white patients than to sicker black patients. Goldman Sachs is being investigated by regulators for using an AI algorithm that allegedly discriminated against women by granting larger credit limits to men than women on their Apple cards. Facebook infamously granted Cambridge Analytica, a political firm, access to the personal data of more than 50 million users.
… Despite the costs of getting it wrong, most companies grapple with data and AI ethics through ad-hoc discussions on a per-product basis. With no clear protocol in place on how to identify, evaluate, and mitigate the risks, teams end up either overlooking risks, scrambling to solve issues as they come up, or crossing their fingers in the hope that the problem will resolve itself. When companies have attempted to tackle the issue at scale, they’ve tended to implement strict, imprecise, and overly broad policies that lead to false positives in risk identification and stymied production. These problems grow by orders of magnitude when you introduce third-party vendors, who may or may not be thinking about these questions at all.
… AI ethics does not come in a box. Given the varying values of companies across dozens of industries, a data and AI ethics program must be tailored to the specific business and regulatory needs that are relevant to the company. However, here are seven steps towards building a customized, operationalized, scalable, and sustainable data and AI ethics program.
1. Identify existing infrastructure that a data and AI ethics program can leverage.
2. Create a data and AI ethical risk framework that is tailored to your industry.
3. Change how you think about ethics by taking cues from the successes in health care.
4. Optimize guidance and tools for product managers.
5. Build organizational awareness.
6. Formally and informally incentivize employees to play a role in identifying AI ethical risks.
7. Monitor impacts and engage stakeholders.
(Related)
https://bigthink.com/technology-innovation/machine-learning-ethics
Six ways machine learning threatens social justice
When you harness the power and potential of machine learning, there are also some drastic downsides that you've got to manage. Deploying machine learning, you face the risk that it be discriminatory, biased, inequitable, exploitative, or opaque. In this article, I cover six ways that machine learning threatens social justice and reach an incisive conclusion: The remedy is to take on machine learning standardization as a form of social activism.
When you use machine learning, you aren't just optimizing models and streamlining business. You're governing. In essence, the models embody policies that control access to opportunities and resources for many people. They drive consequential decisions as to whom to investigate, incarcerate, set up on a date, or medicate – or to whom to grant a loan, insurance coverage, housing, or a job.
An improvement upon: “I’m sorry Dave, I can’t open the pod bay door.”
https://techxplore.com/news/2020-10-virtual-agent-humans.html
Pilot: A virtual agent that can negotiate with humans
… A research team at the university of Southern California has been exploring the possibility of building automated systems that can negotiate with humans. In a paper pre-published on arXiv and set to be presented at the IJCAI conference, they presented a virtual agent based on a framework called IAGO (Interactive Arbitration Guide Online), which can negotiate with humans in a three-round negotiation task. This virtual agent, called Pilot, is one of the finalists of the IJCAI conference's global negotiation challenge (ANAC).
… During the three-round ANAC task, Pilot typically tries to lead the negotiation by continuously rolling out offers. Meanwhile, it also guides human partners and offers its assistance, using simple sentences such as “let me help you out.”"
"A key characteristic of Pilot is the effective use of favor exchange," Chawla said. “repeated negotiations provide the opportunity to indulge in favor exchange with the human, where a favor accepted in the current negotiation can be paid back in the upcoming ones. However, prior work shows that whether the favor request is fruitful or not depends on the personality of the partner such as their social value orientation, a feature that captures how cooperatively an individual is expected to approach the negotiation."
Rules? We don’t need no stinking rules!
Trump Foes Fume Over FCC’s Efforts to Rein In Twitter
Agency chief says it will conduct rulemaking Trump sought
Like everyone else?
https://www.law.com/2020/10/15/the-pandemic-is-accelerating-the-expansion-of-the-gc-role/
Law.com Barometer: The Pandemic is Accelerating the Expansion of the GC Role
… That agility requirement has GCs leading many strategic conversations with the executive team on how best to balance employee safety, company reputation, legal and compliance risk and long-term company survival. GCs are implementing innovative initiatives that require working with teams across business units such as HR, real estate, operations, IT, finance, and supply teams. The difficulty around these decisions, however, is compounded for global operations, where the guidance and regulations may require different standards or may even conflict. As Judy Wong, Tricor’s Group Chief Legal Counsel and Chief Compliance Officer shared with Corporate Counsel, “In today’s changing regulatory and business environment, businesses always have to think about risk in new innovative ways, but COVID-19 just fast-tracked everything.”
Perspective. (Podcast)
https://www.technologyreview.com/2020/10/15/1010365/the-fourth-industrial-revolution-has-begun-nows-the-time-to-join/
The Fourth Industrial Revolution has begun: Now’s the time to join
To prepare for a data-dominated future, says Lumen CTO Andrew Dugan, organizations need the right tools to collect, analyze, and act on it.
… When it comes to next-generation apps and devices, edge compute—the ability to process data in real time at the edge of a network (think a handheld device) without sending it back to the cloud to be processed—has to be the focus. Dugan explains: “When a robot senses something and sends that sensor data back to the application, which may be on-site, it may be in some edge compute location, the speed at which that data can be collected, transported to the application, analyzed, and a response generated, directly affects the speed at which that device can operate.” This data must be analyzed and acted on in real time to be useful to the organization.
Makes me feel even older…
https://www.makeuseof.com/what-is-cobol/
What Is COBOL and Why Is It in Demand?
The 60-year-old programming COBOL is experiencing a resurgence. Many government system mainframes run COBOL and have been struggling to deal with a surge in demand. In particular, the state of New Jersey’s unemployment systems is administered by a 40-year-old COBOL mainframe.
With the surge in unemployment connected to COVID-19, the system is struggling to keep up. Governor Murphy has identified COBOL programmers as an under-appreciated necessity.
… To help address the growing need for COBOL programmers, IBM has created a free COBOL course. The course consists of a series of videos, quizzes, and lab assignments, takes 16 hours to complete and you will receive a badge at the end.
Tools.
https://www.makeuseof.com/lalal-separate-vocals-instruments/
LALAL.AI Makes Separating Vocals and Instruments Easy
If you don't have the master track, listening to just the vocals or instruments for a song requires absurd amounts of audio editing hours to split the tracks into stems.
It's a painful process that may not even end up perfect, no matter how much time you invest.
It doesn't have to be this way, though, as LALAL.AI actually uses artificial intelligence to split the vocal and instrumental tracks for you. Not only does it require next to no effort on your part, but it only takes a few moments to create downloadable versions of each track.
It really doesn't get much easier than using LALAL.AI. You simply go to the website, upload the song you'd like to have split, and wait a minute or two while the AI processes the file and outputs the split version.
Once the files are split, you can listen to them directly in your browser or download the MP3 the separated files to use in whatever way you need them. It really is that simple.
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