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How to Prevent AI Dangers With Ethical AI

#artificialintelligence

After widespread protests against racism in the U.S., tech giants Microsoft, Amazon and IBM publicly announced they would no longer allow police departments access to their facial recognition technology. Artificial intelligence (AI) can be prone to errors, particularly in recognizing people of color and those in other underrepresented groups. Any organization developing or using AI solutions needs to be proactive in ensuring that AI dangers don't jeopardize their brand, draw regulatory actions, lead to boycotts or destroy business value. Microsoft President Brad Smith was widely quoted as saying his company wouldn't sell facial-recognition technology to police departments in the U.S., "until we have a national law in place, grounded in human rights, that will govern this technology." So, in the absence of highly rigorous institutional protections against AI dangers, what can organizations do themselves to guard against them?


Pinaki Laskar posted on LinkedIn

#artificialintelligence

What kind of projects are you working on in an R&D department in data science or AI field? It is the reality of Superhuman #AI, what guides all my projects, to prove the assumptions which are behind a superhuman intelligence: - AI is already getting smarter than us, at various domains, at an exponential rate. Elon Musk, Stuart Russell, Ray Kurzweil, Demis Hassabis, Sam Harris, Nick Bostrom, David Chalmers, Bart Selman, Jaan Tallinn and Max Tegmark all agreed that superhuman intelligence was inevitable and not far away. I do my best to build a digital superintelligence model as a global AI platform within 10 years showing that the Superhuman AI is a not a myth or religious belief, but a reality, today's reality.


Impact of Artificial Intelligence in Cybersecurity

#artificialintelligence

Even though security solutions are becoming modern and robust, cyber threats are ever-evolving and always on the peak. The main reason for this is because the conventional methods to detect the malware are falling apart. Cybercriminals are regularly coming up with smarter ways to bypass the security programs and infect the network and systems with different kinds of malware. The thing is, currently, most antimalware or antivirus programs use the signature-based detection technique to catch the threats, which is ineffective in detecting the new threats. This is where Artificial Intelligence can come to rescue.


How Artificial Intelligence is Transforming Customer Service Industry ?

#artificialintelligence

The achievement of any business organization is highly dependent on its customer relationship strategies. Client experience is exceptionally organized in any business. Consumer loyalty is profoundly impacted by the change brought about by the dynamic technologies. With the progression of technological advances, such as AI (artificial intelligence), NLP (natural language processing), Intelligent Chatbot, and ML (machine learning), intelligent automation of client care administrations has become a need for all the organizations. Here is how artificial intelligence is transforming the customer service industry.


How Artificial Intelligence is Transforming Customer Service Industry ?

#artificialintelligence

The achievement of any business organization is highly dependent on its customer relationship strategies. Client experience is exceptionally organized in any business. Consumer loyalty is profoundly impacted by the change brought about by the dynamic technologies. With the progression of technological advances, such as AI (artificial intelligence), NLP (natural language processing), Intelligent Chatbot, and ML (machine learning), intelligent automation of client care administrations has become a need for all the organizations. Here is how artificial intelligence is transforming the customer service industry.


A collection of recommendable papers and articles on Explainable AI (XAI)

#artificialintelligence

Explainable AI (XAI) refers to methods and techniques in the application of artificial intelligence technology (AI) such that the results of the solution can be understood by humans. It contrasts with the concept of the "black box" in machine learning where even their designers cannot explain why the AI arrived at a specific decision. XAI may be an implementation of the social right to explanation. XAI is relevant even if there is no legal rights or regulatory requirements--for example, XAI can improve the user experience of a product or service by helping end users trust that the AI is making good decisions. The technical challenge of explaining AI decisions is sometimes known as the interpretability problem.


'Machines set loose to slaughter': the dangerous rise of military AI

#artificialintelligence

Two menacing men stand next to a white van in a field, holding remote controls. They open the van's back doors, and the whining sound of quadcopter drones crescendos. They flip a switch, and the drones swarm out like bats from a cave. In a few seconds, we cut to a college classroom. The students scream in terror, trapped inside, as the drones attack with deadly force. The lesson that the film, Slaughterbots, is trying to impart is clear: tiny killer robots are either here or a small technological advance away. And existing defences are weak or nonexistent.


Automation and AI: Challenges and Opportunities - DATAVERSITY

#artificialintelligence

Businesses across the globe are fascinated with the idea of AI and automation because this advanced technology promises operational efficiency, enhanced processes, and substantial cost savings. However, AI and its allied technologies have also created uncertainties, confusion, and doubts about the human capability for adopting, deploying, and executing these magical systems in actual business situations -- simply because the business leaders and operators are still all humans. Today, it is widely acknowledged that automation and AI technologies will gradually transform the global workplace, with intelligent machines performing human tasks in some cases and aiding the human in other cases. The presence of robotic machines in the workplace will ultimately increase efficiency and reduce costs. As a result, many human occupations will disappear, while others will adapt to technology-enabled roles.


Radical AI podcast: featuring Anima Anandkumar

AIHub

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Anima Anandkumar about democratizing AI. What are current attitudes towards AI Ethics from within the tech industry? How can we make computer science a more inclusive discipline for women? What does it mean to democratize AI?


The Growing Impact of AI in Healthcare

#artificialintelligence

As the world adopted technology in day-to-day living and across various business functions, patients also have started demanding amplified quality of care, rapid diagnosis, improved life spans, and recovery from chronic conditions such as cancer. It is time to move past the conventional methods of healthcare and adapt to the new healthcare processes driven by modern tech. Artificial Intelligence has transformed every industry there is, and healthcare is no exception. The healthcare industry has always benefitted with the use of modern technology, and mobile devices and Artificial Intelligence has added to it, paving the way for improved quality of life for us humans. The impact of Artificial Intelligence for healthcare has been widespread, touching base with almost every element of healthcare - from diagnosis to record-keeping, preventive treatments to recovering from an epidemic.