Always worth refining…
https://link.springer.com/chapter/10.1007/978-3-031-17040-9_4
Surveillance Capitalism
Surveillance capitalism hinges on the appropriation and commercialisation of personal data for profit-making. This chapter spotlights three cases connected to surveillance capitalism: data appropriation, monetisation of health data and the unfair commercial practice when “free” isn’t “free”. It discusses related ethical concerns of power inequality, privacy and data protection, and lack of transparency and explainability. The chapter identifies responses to address concerns about surveillance capitalism and discusses three key responses put forward in policy and academic literature and advocated for their impact and implementation potential in the current socio-economic system: antitrust regulation, data sharing and access, and strengthening of data ownership claims of consumers/individuals. A combination of active, working governance measures is required to stem the growth and ill-effects of surveillance capitalism and protect democracy.
Why # 4? Isn’t that a serious change of direction?
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4261569
Prohibited Artificial Intelligence Practices in the Proposed EU Artificial Intelligence Act
As artificial intelligence (AI) is becoming a more and more important part of human lives, the initial hype about its many expected benefits is gradually giving way to rising ethical concerns about its inherent risks and dangers. In order to confront and contain the most serious risks by way of the establishment of a legal framework for trustworthy AI, the European Union released its proposal for an Artificial Intelligence Act (AIA) in April 2021. The draft AIA pursues a proportionate horizontal and risk-based regulatory approach to AI, classifying AI broadly into the categories of unacceptable risks, high risks, and low or minimal risks. The unacceptable risks are those that are deemed to contravene Union values, and they are therefore considered as “prohibited AI practices” by Article 5 AIA. The proposed prohibition covers four categories: 1) AI systems deploying subliminal techniques, 2) AI practices exploiting vulnerabilities, 3) social scoring systems, and 4) “real-time” remote biometric identification systems. These will be critically discussed in the present article.
Reality or investor impression? Fake it ‘till you make it?
https://venturebeat.com/ai/5-ways-forrester-predicts-ai-will-be-indispensable-in-2023/
5 ways Forrester predicts AI will be “indispensable” in 2023
Forrester Research’s recently-released predictions report for artificial intelligence highlights what most have already observed: AI adoption has evolved from an emerging, nice-to-have trend to experiment with to a legitimate, must-do priority for enterprises.
Basically, get on board the AI train or be left behind.
Anything new? My AI can ‘own’ a copyright and can’t sue for the right to own it.
https://www.scirp.org/journal/paperinformation.aspx?paperid=120921
From Animals to Artificial Intelligence: Non-Human Beings’ Intellectual Property Protection by “Judicial Capacity for Copyrights”
Since artificial intelligence has completed the process from the auxiliary tool of human creation to the independent creation completion of works with formal appearance, it has brought many legal issues that have caused widespread controversy. Among them, whether artificial intelligence has the qualification of legal subject and whether the products of artificial intelligence should be protected by law is the focus of the problem. In the legal circle, the involvement of the theme of “non-anthropocentrism” can be traced back to the debate between animal legal personality and non-human ecological rights. The Naruto v. Slater Monkey selfie case and the Pigcasso light people’s debating about animal copyright, and artificial intelligence provides a new research perspective and reinvigorates the research on animal copyright. By means of the analogy research of animals, humans and artificial intelligence, this paper explores the rationality, necessity and feasibility of investing non-human beings with quasi-legal subject qualification in the special subdivision field of law—copyright. Quasi-legal subject qualification means that artificial narrow intelligence and animals are endowed with judicial capacity for copyrights and limited capacity to act. At the same time, the designers of artificial intelligence, animal breeders and the government and so on serve as the quasi-guardian of artificial intelligence and animals. In addition, artificial general intelligence and artificial super general intelligence are endowed with completely independent legal capacity to act, and the quasi-guardian system is terminated. The quasi-guardian system is perfectly compatible with the existing legal framework from the perspective of development. It protects the ownerless intellectual property from the free lift, thereby helping avoid the tragedy of the commons. Furthermore, it solves the problem that animals and artificial narrow intelligence cannot independently safeguard their rights and provides a forward-looking theoretical model for the system construction of non-human copyright.
Who failed here? The AI or the plan to simply plug an AI into a human job?
Robots? Some Companies Find Only Humans Can Do the Job
Robots are the future. In certain sectors, however, that’s not anytime soon.
Companies have been trying out automatons to serve food in restaurants, make home deliveries or do chores in stores, partly in hopes of easing the worker shortage. But some of those consumer-facing robots aren’t passing probation.
Among the disenchanted, FedEx Corp. said last month it was powering down Roxo, its last-mile delivery robot, to prioritize several “nearer-term opportunities,” a spokeswoman said. Also in October, Amazon.com Inc. said it was ending field tests of Scout, its home-delivery robot, after learning that some aspects of its “unique delivery experience” weren’t “meeting customers’ needs,” a company spokeswoman said.
Tools & Techniques. Worth a try?
https://www.makeuseof.com/best-speech-to-text-apps/
The 6 Best Speech-to-Text Apps for Note-Taking
Tools & Techniques. Could we use this to explain how an AI works?
Replit’s Ghostwriter AI can explain programs to you—or help write them
… Replit says that Ghostwriter performs best with JavaScript and Python but supports 16 languages, including C, Java, Perl, Python, and Ruby. It also supports HTML and CSS for web development and SQL for database queries.
Ghostwriter includes four main components: Complete Code (which analyzes what you've written and suggests continuations), Generate Code (which creates new code based on your suggestions), Transform Code (which helps you refactor or modernize code to fit standards), and Explain Code (which analyzes existing code and explains its function using natural language).
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