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#but like as far as like industry ai. like the ethics of usage are complicated but i honestly don't care because the stuff is garbage anyway
izzyspussy · 1 month
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honestly my real opinion on ai is not even from an ethical standpoint. my opinion on ai is that because it isn't actually artificial intelligence that is a misnomer it's not intelligent and it doesn't think it is therefore just plain not good at most of what we're currently using it for outside of like hyperspecific applications that i know nothing about and never will. it simply can't do the job man.
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ubaid214 · 1 month
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Free Whole Period Porn Shows Sites - 4K & HD XXX Videos
Recently, the junction of synthetic intelligence (AI) and pornography has sparked extreme debates, increasing profound questions about ethics, consent, solitude, and the ongoing future of person entertainment. AI technology has changed different industries, and the person material market is not any exception. This short article goes to the multifaceted landscape of AI-generated pornography, discovering their implications and the issues it presents.
The Development of AI in Pornography: Historically, the adult leisure market has counted on human stars, directors, and producers to create content. But, developments in AI engineering have facilitated the generation of hyper-realistic simulations, blurring the lines between truth and virtuality. AI methods can now generate synthetic photos, movies, and sound that strongly resemble true persons, resulting in the emergence of AI-generated pornography. best free porn
Honest Considerations: The proliferation of AI-generated adult increases substantial ethical concerns. One of the foremost dilemmas relates to consent and the use of individuals' likenesses without their permission. Deepfake engineering, a part of AI, allows for the treatment of films to depict persons engaging in explicit acts without their consent. That not merely violates their solitude but additionally has the prospect of defamation and damage with their reputation.
More over, the normalization of AI-generated pornography can desensitize audiences to the exploitation of real persons within the industry. It may also perpetuate hazardous stereotypes and improbable beauty criteria, further exacerbating societal difficulties and objectification.
Effect on Culture: The common accessibility to AI-generated porn has far-reaching implications for society. From influencing sexual attitudes and behaviors to surrounding perceptions of intimacy and consent, their influence is profound. Additionally, the ease of usage of such content poses risks, particularly concerning young ones and weak folks who may possibly unintentionally encounter it online.
Furthermore, the prevalence of AI-generated pornography has implications for associations, as people may possibly build improbable expectations centered on fabricated depictions of intimacy. This may lead to issues such as lowered pleasure, infidelity, and diminished confidence between partners.
Regulatory Issues: Approaching the challenges asked by AI-generated pornography involves a complex strategy involving technology, legislation, and market collaboration. Although some jurisdictions have applied laws targeting deepfakes and non-consensual pornography, enforcement remains challenging because of the worldwide character of the internet and the quick progress of AI technology.
Regulatory frameworks should hit a balance between protecting individual rights and keeping flexibility of expression. Nevertheless, reaching that harmony is inherently complicated, requiring nuanced legislation that accounts for the energetic nature of AI and their possible purposes in adult content.
Conclusion: The advent of AI-generated pornography presents a paradigm shift in the adult entertainment business, raising profound ethical, social, and regulatory challenges. As engineering continues to improve, it is critical to handle these dilemmas proactively, safeguarding personal rights, marketing responsible use of AI, and fostering a culture of consent and respect. Only through cooperation between stakeholders – including policymakers, technology businesses, and advocacy teams – can we understand the difficulties of AI-generated pornography and mitigate its negative consequences on society.
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fuyuki26 · 3 months
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Navigating the AI Revolution: Embracing the Pros, Addressing the Cons
Artificial Intelligence (AI) has been a disruptive force in recent years, changing fields and fundamentally altering how we live and work. Artificial Intelligence is influencing every aspect of our life, from self-driving automobiles to advanced virtual assistants. But like any potent technology, artificial intelligence has advantages and disadvantages of its own. We will discuss the advantages of artificial intelligence (AI) in this blog, along with the difficulties it presents and the reasons it is so important to encourage its advancement in a morally and responsibly manner.
Pros of AI:
Enhanced Productivity and Efficiency: AI-powered systems can do jobs far faster and more accurately than people, which increases output across a range of industries.
Automation of Repeated operations: Artificial intelligence has the ability to automate routine, repetitive operations, allowing  human labor for more complicated and creative projects.
Better Decision Making: AI systems are capable of analyzing enormous volumes of data and producing insights that let governments and companies make more informed choices.
Improved Customer Experience: Chatbots and virtual assistants driven by AI can offer consumers immediate assistance, increasing their happiness and loyalty.
Medical Advancements: AI is enabling more effective medical imaging analysis, individualized treatment treatments, and early disease identification, which is completely changing the healthcare industry.
Cons of AI:
AI's increasing automation of jobs raises the possibility of job displacement in several industries, demanding worker retraining and adaptability.
Algorithm Bias: Artificial intelligence (AI) algorithms may carry over biases from the training data, which could result in unfair outcomes, particularly in the lending and hiring processes.
Privacy Concerns: The possibility of personal information being misused and privacy issues are brought up by the usage of AI in data collecting and surveillance.
Ethical Dilemmas: The employment of autonomous weaponry and accountability for AI decision-making are just two of the difficult moral issues that AI brings up.
Dependency on Technology: We run the risk of losing our ability to think critically and growing overly dependent on technology as we use AI to make decisions more and more.
Even though there are legitimate drawbacks of AI that need to be considered, it's also critical to acknowledge the enormous potential advantages. In order to promote the proper development of AI, we need to give ethical issues top priority, guarantee accountability and transparency in AI systems, and make investments in education and training to get the workforce ready for the demands of the future labor market.
In conclusion, artificial intelligence (AI) has the potential to improve the world, but it is up to us to properly direct its advancement and application. We can guarantee that artificial intelligence (AI) improves our lives and builds a more equal and sustainable future for all by embracing its benefits and resolving its cons.
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Super Intelligence and AI: Boon or Bane? by- Anup kumar
Science and technology have now reached a level of evolution where computers can recreate human level intelligence. One of the most widely anticipated scientific developments of our time, artificial intelligence or “super intelligence” has taken the world by storm. But renowned scientist Stephen Hawking has cautioned that whether artificial intelligence will be our greatest benefit or our biggest downfall remains a question. The noted scientist also argued“ when it eventually does occur, it’s likely to be either the best or worst thing ever to happen to humanity, so there’s huge value in getting it right.” Dire predictions that AI may spell the end of the human race are not few and far between. Tesla founder Elon Musk has also questioned the benefits of super intelligence, in opposition to Facebook Founder Mark Zuckerberg. Success in creating AI could be the biggest event in human history, but could also be the last. He has made his worry clearer now. Hawking’s case is that AI may one day take off on its own, redesign itself and replicate at a fast pace and supersede the human race, whose biological evolution cannot keep pace with it. US technologist Elon Musk said that AI might turn out to be a demon which could pose the biggest existential threat to the human race. Are these a sign of the times to come? Is AI a boon or a bane?
Boon 1. Marrying Creativity With Technology At the most basic level, AI is a robotic machine that thinks creativity and intelligently and acts autonomously. This has many benefits rather than a unidimensional technology that cannot think or work on its own. The benefits of AI far exceed the apprehensions. 2. Meeting Our Daily Needs Though we don't realise it, we are already surrounded by Siri, Alexa and GPS or face detection, which are all applications of AI. Without super intelligence, our lives would be tough to manage. Even the most basic smartphone uses AI. Super intelligence forms the cornerstone of the digital revolution and so many aspects of life are simpler thanks to this marvellous technology. 3. Safety Factor Presently and in the future as well, AI has a world of applications. Fields like mining or defence can be hazardous to human health, leading to disease or injury. Using drones or robots prevents this from happening. 4. Error-Free AI is error-free. Making room for human error is one of the biggest stumbling blocks of industries, innovations and science and technological developments. Getting the precision only a robot is capable of has its advantages. 5. Stepping into Space Solving problems which no man can, AI is a boon to the human race. Super intelligence can even facilitate space exploration and literally go where humans cannot. 6. Learning From Experience AI systems also learn based on usage and experience. How many humans can replicate the same level of success? AI as super intelligence is a boon in so many ways. Its rich experiential learning is another positive aspect. Bane 1. Robots Acquiring Power Science fiction and futuristic films have often projected scenarios of robots acquiring the power to challenge their human creators. HAL 9000 in 2001: A Space Odyssey and the cyborg assassin in the Terminator are relegated to products of imagination. But today's imagination could well be tomorrow's reality. 2. A Question of Ethics Ethical robots would be the need of the hour, given the value systems and accountability critical for its efficient functioning. But how can a robot be taught human values? Consider Data in Star Trek, who could not cry! Dabbling in AI can have serious ethical complications, especially if artificial intelligence exceeds human. 3. Used by Criminals “The One-Hundred Year Study of Artificial Intelligence,” hosted by Stanford University and led by Microsoft Research director Dr. Eric Horvitz, is set to monitor AI advances in key areas including key opportunities, democracy and freedom, law, criminal uses, human-machine collaboration, autonomy, and loss of control. Therefore, crime is one grey area where AI's role remains unexplored. Criminals could use robots and super intelligence, much like hacking drones to cause serious damage to nations and citizens. 4. Seizing Our Jobs AI could take our jobs and source of sustenance. As machines and robots grow sophisticated, non managerial positions and labour intensive tasks are especially under threat. Robots are not taking jobs, they are merely redefining them. AI requires recognition of patterns of data in a context and so humans remain essential to the process. For example, can Siri Google anything without being asked first? Humans supply inputs to ensure AI produces correct outputs. But though we’re a long way from building machines that are smarter than humans, innovation and time could conquer all. From answering queries to predicting future of your love life, to beating chess grandmasters, a lot is already being said and written about AI. Movies depicting the technology like Matrix are world famous. Destructive tools like 3D printed weapons already exist for sale in reality, though. Killer drones could be next, forcing a new kind of accounting with the technological genie. Therefore, AI norms and protocols are essential because though machines hold every human wish as a command, not all humans have the rationality to use robots for right and ethical practices.
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javleech-blog · 7 years
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New Post has been published on Jav Leech
New Post has been published on https://javleech.com/when-government-rules-by-software-citizens-are-left-in-the-dark/
WHEN GOVERNMENT RULES BY SOFTWARE, CITIZENS ARE LEFT IN THE DARK
  IN JULY, SAN Francisco Superior Court Judge Sharon Reardon considered whether or not to preserve Lamonte Mims, a 19-yr-old accused of violating his probation, in jail. One piece of evidence before her: the output of algorithms called PSA that scored the risk that Mims, who had previously been convicted of housebreaking, might commit a violent crime or pass court docket. Based on that end result, any other set of rules recommended that Mims may want to thoroughly be released, and Reardon let him pass. Five days later, police say, he robbed and murdered a 71-year vintage guy. On Monday, the San Francisco District Attorney’s Office said staffers the use of the device had erroneously didn’t input Mims’ earlier jail time period. Had they finished so, PSA might have encouraged he be held, no longer launched. Mims’ case highlights how governments more and more rely upon mathematical formulation to inform decisions about crook justice, toddler welfare, training and different areas. Yet it’s regularly hard or impossible for residents to see how these algorithms paintings and are getting used. San Francisco Superior Court commenced the usage of PSA in 2016, upon getting the device without cost from the John and Laura Arnold Foundation, a Texas nonprofit that works on criminal-justice reform. The initiative was supposed to prevent poor human beings unable to manage to pay for bail from needlessly lingering in jail. But a memorandum of expertise with the inspiration bars the courtroom from disclosing “any information approximately the Tool, which includes any information approximately the development, operation and presentation of the Tool.” The agreement became unearthed in December by law professors, who in a paper released this month report a widespread transparency hassle with the nation and municipal use of predictive algorithms. Robert Brauneis, of George Washington University, and Ellen Goodman, of Rutgers University, filed 42 open-facts requests in 23 states looking for records approximately PSA and five other tools utilized by governments. They didn’t get tons of what they asked for. RELATED STORIES
JASON TASHEA Courts Are Using AI to Sentence Criminals. That Must Stop Now
MEGAN MOLTENI Artificial Intelligence Is Learning to Predict and Prevent Suicide
MARK HARRIS How Peter Thiel’s Secretive Data Company Pushed Into Policing Many governments stated that they had no applicable information approximately the applications. Taken at face value, that might mean those businesses did not report how they selected, or how they use, the gear. Others stated contracts avoided them from freeing a few or all information. Goodman says this suggests governments are neglecting to stand up for his or her own, and residents’, pastimes. “You can surely see who held the pen inside the contracting system,” she says.
The Arnold Foundation says it not calls for confidentiality from municipal officials and is satisfied to amend current agreements, to allow officials to disclose facts approximately PSA and how they use it. But a representative of San Francisco Superior Court said its settlement with the mouse has now not been up to date to cast off the gag clause. Goodman and Brauneis ran their information-request marathon to add empirical gasoline to a debate about widening the use of predictive algorithms in authorities choice-making. In 2016, an investigation via ProPublica discovered that a gadget utilized in sentencing and bail selections was biased against black people. Scholars have warned for years public coverage ought to turn out to be hidden beneath the shroud of change secrets, or technical approaches divorced from the same old policy-making process. The scant outcomes from nearly a yr of filing and following up on requests show the one’s fears are nicely-grounded. But Goodman says the study has additionally helped convince her that governments will be extra open approximately their use of algorithms, which she says has a clear potential to make authorities greater efficient and equitable.
Some students and activists need governments to expose the code in the back of their algorithms, a difficult task due to the fact they’re frequently industrial merchandise. Goodman thinks it’s greater urgent that the public knows how an algorithm changed into chosen, advanced, and tested—for instance how touchy it’s miles to false positives and negatives. That’s no damage from the beyond, she argues, due to the fact citizens have always been able to ask for information approximately how new coverage turned into devised and implemented. “Governments have no longer made the shift to know-how that is policy making,” she says. “The problem is that public coverage is being pushed right into a realm where it’s not reachable.” For Goodman’s hopes to be met, governments will rise up to the builders of predictive algorithms and software. Goodman and Brauneis sought statistics from sixteen nearby courts that use PSA. They received at least some files from five; 4 of those, including San Francisco, said their settlement with the Arnold Foundation averted them from discussing the tool and its use. Some matters are recognized about PSA. The Arnold Foundation has made public the formulation on the coronary heart of its device, and the elements it considers, including someone’s age, criminal records and whether they have did not seem for prior court hearings. It says researchers used records from almost 750,000 instances to design the device. After PSA turned into adopted in Lucas County, Ohio, the Arnold Foundation says, crimes devoted via human beings expecting trial fell, at the same time as more defendants were launched while not having to post bail. Goodman argues the muse must expose greater facts approximately its data set and the way it becomes analyzed to design PSA, in addition to the consequences of any validation assessments accomplished to a song the threat scores it assigns human beings. That records might help governments and citizens apprehend PSA’s strengths and weaknesses, and compare it with competing for pretrial risk-evaluation software. The foundation didn’t solution an instantaneous request for that information from the researchers this March. Moreover, a few governments now the use of PSA have agreed not to reveal details about how they use it. An Arnold Foundation spokeswoman says it’s far assembling a data set for launch that will allow out of doors researchers to assess its device. She says the muse to start with required confidentiality from jurisdictions to inhibit governments or opponents from the usage of or copying the tool with out permission. Goodman and Brauneis also queried 11 police departments that use PredPol, industrial software that predicts where crime is likely to arise and can be used to plan patrols. Only three-spoke back. None revealed the set of rules PredPol uses to make predictions or anything about the process used to create and validate it. PredPol is advertised with the aid of a company of the equal name and originated in a collaboration among Los Angeles Police Department and University of California Los Angeles. It did now not respond to a request for remark. Some municipalities had been more impending. Allegheny County in Pennsylvania produced a file describing the improvement and checking out of a set of rules that helps baby-welfare workers decide whether or not to officially inspect new reviews of infant maltreatment, for example. The county’s Department of Human Services had commissioned the tool from Auckland University of Technology, in New Zealand. Illinois specifies that records about its contracts for a device that attempts to predict whilst kids can be injured or killed can be public unless prohibited with the aid of law. Most governments the professors queried didn’t seem to have the know-how to correctly don’t forget or solution questions about the predictive algorithms they use. “I was left feeling pretty sympathetic to municipalities,” Goodman says. “We’re watching for them to do an entire lot they don’t have the wherewithal to do.” Danielle Citron, a regulation professor at the University of Maryland, says that stress from Kingdom legal professionals preferred, court docket cases, and even regulation might be essential to trade how nearby governments reflect on consideration on, and use, such algorithms. “Part of it has to return from the law,” she says. “Ethics and satisfactory practices by no means receive us over the line because the incentives simply aren’t there.” Researchers consider predictive algorithms are developing greater conventional – and greater complicated. “I suppose that possibly makes matters tougher,” says Goodman. UPDATE 07:34 am ET 08/17/17: An earlier version of this tale incorrectly defined the Arnold Foundation’s PSA tool.
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lavleech-blog · 7 years
Text
WHEN GOVERNMENT RULES BY SOFTWARE, CITIZENS ARE LEFT IN THE DARK
New Post has been published on https://javleech.com/when-government-rules-by-software-citizens-are-left-in-the-dark/
WHEN GOVERNMENT RULES BY SOFTWARE, CITIZENS ARE LEFT IN THE DARK
  IN JULY, SAN Francisco Superior Court Judge Sharon Reardon considered whether or not to preserve Lamonte Mims, a 19-yr-old accused of violating his probation, in jail. One piece of evidence before her: the output of algorithms called PSA that scored the risk that Mims, who had previously been convicted of housebreaking, might commit a violent crime or pass court docket. Based on that end result, any other set of rules recommended that Mims may want to thoroughly be released, and Reardon let him pass. Five days later, police say, he robbed and murdered a 71-year vintage guy. On Monday, the San Francisco District Attorney’s Office said staffers the use of the device had erroneously didn’t input Mims’ earlier jail time period. Had they finished so, PSA might have encouraged he be held, no longer launched. Mims’ case highlights how governments more and more rely upon mathematical formulation to inform decisions about crook justice, toddler welfare, training and different areas. Yet it’s regularly hard or impossible for residents to see how these algorithms paintings and are getting used. San Francisco Superior Court commenced the usage of PSA in 2016, upon getting the device without cost from the John and Laura Arnold Foundation, a Texas nonprofit that works on criminal-justice reform. The initiative was supposed to prevent poor human beings unable to manage to pay for bail from needlessly lingering in jail. But a memorandum of expertise with the inspiration bars the courtroom from disclosing “any information approximately the Tool, which includes any information approximately the development, operation and presentation of the Tool.” The agreement became unearthed in December by law professors, who in a paper released this month report a widespread transparency hassle with the nation and municipal use of predictive algorithms. Robert Brauneis, of George Washington University, and Ellen Goodman, of Rutgers University, filed 42 open-facts requests in 23 states looking for records approximately PSA and five other tools utilized by governments. They didn’t get tons of what they asked for. RELATED STORIES
JASON TASHEA Courts Are Using AI to Sentence Criminals. That Must Stop Now
MEGAN MOLTENI Artificial Intelligence Is Learning to Predict and Prevent Suicide
MARK HARRIS How Peter Thiel’s Secretive Data Company Pushed Into Policing Many governments stated that they had no applicable information approximately the applications. Taken at face value, that might mean those businesses did not report how they selected, or how they use, the gear. Others stated contracts avoided them from freeing a few or all information. Goodman says this suggests governments are neglecting to stand up for his or her own, and residents’, pastimes. “You can surely see who held the pen inside the contracting system,” she says.
The Arnold Foundation says it not calls for confidentiality from municipal officials and is satisfied to amend current agreements, to allow officials to disclose facts approximately PSA and how they use it. But a representative of San Francisco Superior Court said its settlement with the mouse has now not been up to date to cast off the gag clause. Goodman and Brauneis ran their information-request marathon to add empirical gasoline to a debate about widening the use of predictive algorithms in authorities choice-making. In 2016, an investigation via ProPublica discovered that a gadget utilized in sentencing and bail selections was biased against black people. Scholars have warned for years public coverage ought to turn out to be hidden beneath the shroud of change secrets, or technical approaches divorced from the same old policy-making process. The scant outcomes from nearly a yr of filing and following up on requests show the one’s fears are nicely-grounded. But Goodman says the study has additionally helped convince her that governments will be extra open approximately their use of algorithms, which she says has a clear potential to make authorities greater efficient and equitable.
Some students and activists need governments to expose the code in the back of their algorithms, a difficult task due to the fact they’re frequently industrial merchandise. Goodman thinks it’s greater urgent that the public knows how an algorithm changed into chosen, advanced, and tested—for instance how touchy it’s miles to false positives and negatives. That’s no damage from the beyond, she argues, due to the fact citizens have always been able to ask for information approximately how new coverage turned into devised and implemented. “Governments have no longer made the shift to know-how that is policy making,” she says. “The problem is that public coverage is being pushed right into a realm where it’s not reachable.” For Goodman’s hopes to be met, governments will rise up to the builders of predictive algorithms and software. Goodman and Brauneis sought statistics from sixteen nearby courts that use PSA. They received at least some files from five; 4 of those, including San Francisco, said their settlement with the Arnold Foundation averted them from discussing the tool and its use. Some matters are recognized about PSA. The Arnold Foundation has made public the formulation on the coronary heart of its device, and the elements it considers, including someone’s age, criminal records and whether they have did not seem for prior court hearings. It says researchers used records from almost 750,000 instances to design the device. After PSA turned into adopted in Lucas County, Ohio, the Arnold Foundation says, crimes devoted via human beings expecting trial fell, at the same time as more defendants were launched while not having to post bail. Goodman argues the muse must expose greater facts approximately its data set and the way it becomes analyzed to design PSA, in addition to the consequences of any validation assessments accomplished to a song the threat scores it assigns human beings. That records might help governments and citizens apprehend PSA’s strengths and weaknesses, and compare it with competing for pretrial risk-evaluation software. The foundation didn’t solution an instantaneous request for that information from the researchers this March. Moreover, a few governments now the use of PSA have agreed not to reveal details about how they use it. An Arnold Foundation spokeswoman says it’s far assembling a data set for launch that will allow out of doors researchers to assess its device. She says the muse to start with required confidentiality from jurisdictions to inhibit governments or opponents from the usage of or copying the tool with out permission. Goodman and Brauneis also queried 11 police departments that use PredPol, industrial software that predicts where crime is likely to arise and can be used to plan patrols. Only three-spoke back. None revealed the set of rules PredPol uses to make predictions or anything about the process used to create and validate it. PredPol is advertised with the aid of a company of the equal name and originated in a collaboration among Los Angeles Police Department and University of California Los Angeles. It did now not respond to a request for remark. Some municipalities had been more impending. Allegheny County in Pennsylvania produced a file describing the improvement and checking out of a set of rules that helps baby-welfare workers decide whether or not to officially inspect new reviews of infant maltreatment, for example. The county’s Department of Human Services had commissioned the tool from Auckland University of Technology, in New Zealand. Illinois specifies that records about its contracts for a device that attempts to predict whilst kids can be injured or killed can be public unless prohibited with the aid of law. Most governments the professors queried didn’t seem to have the know-how to correctly don’t forget or solution questions about the predictive algorithms they use. “I was left feeling pretty sympathetic to municipalities,” Goodman says. “We’re watching for them to do an entire lot they don’t have the wherewithal to do.” Danielle Citron, a regulation professor at the University of Maryland, says that stress from Kingdom legal professionals preferred, court docket cases, and even regulation might be essential to trade how nearby governments reflect on consideration on, and use, such algorithms. “Part of it has to return from the law,” she says. “Ethics and satisfactory practices by no means receive us over the line because the incentives simply aren’t there.” Researchers consider predictive algorithms are developing greater conventional – and greater complicated. “I suppose that possibly makes matters tougher,” says Goodman. UPDATE 07:34 am ET 08/17/17: An earlier version of this tale incorrectly defined the Arnold Foundation’s PSA tool.
0 notes