If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Nearly three-quarters of businesses now consider artificial intelligence (AI) critical to their success, and AI continues to grow in importance across companies of various sizes and industries, according to a new report. And despite turbulent times, more than two-thirds of respondents to Appen Limited's 2020 State of AI Report do not expect any negative impact from the COVID-19 pandemic on their AI strategies. Nearly half of companies have accelerated their AI strategies, 20% doing so "significantly," betting their AI projects will have a positive impact on their organization's resiliency, efficiency, and innovation, according to the annual report. SEE: Managing AI and ML in the enterprise 2020: Tech leaders increase project development and implementation (TechRepublic Premium) Yet almost half (49%) of respondents feel their company is behind in their AI journey, suggesting a critical gap exists between the strategic need and the ability to execute among business leaders and technologists, Appen said. Surprisingly, respondents are not that leery of AI: The report also found that only 25% of companies said unbiased AI is mission-critical.
Amid a growing backlash over AI's racial and gender biases, numerous tech giants are launching their own ethics initiatives -- of dubious intent. The schemes are billed as altruistic efforts to make tech serve humanity. But critics argue their main concern is evading regulation and scrutiny through "ethics washing." At least we can rely on universities to teach the next generation of computer scientists to make. Only 15% of instructors and professors said they're teaching AI ethics, and just 18% of students indicated they're learning about the subject.
In a letter to congress sent on June 8th, IBM's CEO Arvind Krishna made a bold statement regarding the company's policy toward facial recognition. "IBM no longer offers general purpose IBM facial recognition or analysis software," says Krishna. "IBM firmly opposes and will not condone uses of any technology, including facial recognition technology offered by other vendors, for mass surveillance, racial profiling, violations of basic human rights and freedoms, or any purpose which is not consistent with our values and Principles of Trust and Transparency." The company has halted all facial recognition development and disapproves or any technology that could lead to racial profiling. The ethics of face recognition technology have been in question for years. However, there has been little to no movement in the enactment of official laws barring the technology.
The ethics of artificial intelligence is part of the ethics of technology specific to robots and other artificially intelligent beings. It is typically divided into robo-ethics, a concern with the moral behavior of humans as they design, construct, use and treat artificially intelligent beings, and machine ethics, which is concerned with the moral behavior of artificial moral agents (AMAs). Algorithmic bias describes systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. Bias can emerge due to many factors, including but not limited to the design of the algorithm or the unintended or unanticipated use or decisions relating to the way data is coded, collected, selected, or used to train the algorithm. Algorithmic bias is found across platforms, including but not limited to search engine results and social media platforms, and can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity.
We thank Heather Krieger from Savi Technology for taking part in the part of the Data Science Interview Series 2020 and sharing her story of how she got into data science along with her views on ethics and data science and several insights and advices for beginner data scientists. I stumbled upon data science. I was in a PhD program and was starting to apply to post docs and academic jobs, but the market was/is rough, and I was trying to coordinate geographic locations with my spouse. An email soliciting applications for a data science fellowship/bootcamp popped up in my inbox and I decided to apply for it. Did a bit more reading into what data science is and what a data scientist does and decided it would be a great fit for my skills and what I wanted to do.
Organising ethical debates has long been an efficient way for industry to delay and avoid hard regulation. Europe now needs strong, enforceable rights for its citizens, writes Green MEP Alexandra Geese. If the rules are too weak, there is a too great a risk that our rights and freedoms will be undermined: This currently applies to all applications of artificial intelligence, which up to now have only been based on non-binding ethical principles and values. In this legislation, Europe has the chance to adopt a legal framework for AI with clear rules. We need strong instruments to protect our fundamental rights and democracy.
Deloitte today announced the launch of the Deloitte AI Institute, a center that focuses on artificial intelligence (AI) research, eminence and applied innovation across industries. The Institute will bring together the brightest minds in the field of AI to apply cutting-edge research to help address a wide spectrum of relevant AI use cases. "The Deloitte AI Institute is being established to advance the conversation and development of AI for enterprises," said Nitin Mittal, AI co-leader and principal, Deloitte Consulting LLP. "Our goal is to blend Deloitte's deep experience in applied AI with a robust network of some of the most intelligent AI minds in the world to challenge the status quo. Through the power of this center, we aim to deliver impactful and game-changing research; and innovation to help our clients lead in the'Age of With,' a world where humans work side-by-side with machines."
AI is humanity's new frontier. Once this boundary is crossed, AI will lead to a new form of human civilization. The guiding principle of AI is not to become autonomous or replace human intelligence. But we must ensure that it is developed through a humanist approach, based on values and human rights. We are faced with a crucial question: what kind of society do we want for tomorrow? The AI revolution opens up exciting new prospects, but the anthropological and social upheaval it brings in its wake warrants careful consideration.
Artificial super-intelligence (ASI) is a software-based system with intellectual powers beyond those of humans across an almost comprehensive range of categories and fields of endeavor. The reality is that AI has been with here for a long time now, ever since computers were able to make decisions based on inputs and conditions. When we see a threatening Artificial Intelligence system in the movies, it's the malevolence of the system, coupled with the power of some machine that scares people. However, it still behaves in fundamentally human ways. The kind of AI that prevails today can be described as an Artificial Functional Intelligence (AFI). These systems are programmed to perform a specific role and to do so as well or better than a human.
With allegations of appropriation, a lack of diverse panelists for a panel about diversity, and a lack of a clear and definitive apology, the organizers of CogX made many missteps during its recent online conference. It is a story that needs telling because, without exposure, it will continue to happen unchecked. Before we get into the specifics of what happened at CogX, let's look at the broader issue. A recent study showed that almost 70 percent of speakers at conferences are male. The company responsible for those insights performed the same research in 2018, and it seems that we're hardly making any progress at all.