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) …
Earlier this month, the Equal Employment Opportunity Commission (EEOC) held a webinar on artificial intelligence (AI) in the workplace. Commissioner Keith Sonderling explained that the EEOC is monitoring employers' use of such technology in the workplace to ensure compliance with anti-discrimination laws. The agency recognizes the potential for AI to mitigate unlawful human bias, but is wary of rapid, undisciplined implementation that may perpetuate or accelerate such bias. Sonderling remarked that the EEOC may use Commissioner charges--agency-initiated investigations unconnected to an employee's charge of discrimination--to ensure employers' are not using AI in an unlawful manner, particularly under the rubric of disparate impact claims. The EEOC's interest in this topic is not new.
This short course will explore how Artificial Intelligence (AI) will impact a workplace from an L&D and HR perspective. You will learn the gap in skillsets that are required for the future workforce. We will explore the benefits and pitfalls of AI and what organisations need to do. You will learn the basics of Artificial Intelligence and how L&D is the main driver for this transformational change and the importance of AI Ethics Codes of Practice. Covering some of the key topics that you can easily implement when your organisation goes through a technological transformation.
This is a three-part article series discussing the impact of the Personal Information Act (4 of 2013) on artificial intelligence or machine learning systems used in the context of the workplace. Although it is dependent on the type of workplace or employer regarding the degree to which the processing of personal information by artificial intelligence systems is relevant, and may appear prescient, it is reasonable to conclude that this will grow in the not too distant future as more technologies make up the workplace. From a general perspective, this article looks at what is viewed as the relevant provisions or themes of POPI and its possible relation to artificial intelligence or machine learning systems. However, the provisions of POPI discussed are not exhaustive and other areas (not covered) may also be relevant considering the specific context in each given case. In Part 1 of the series, I discuss the background to the series; the Protection of Personal Information Act (4 of 2013), providing an overview of the Act for purposes of the series, and personal versus de-identified information: the likely relationship between POPI and AI systems.
Technology has become dishy for the splendidness of its advancement and spellbinding charisma. All of us are certainly amazed when it comes to robots. The technical feasibilities of computer robots are mesmerizing. Still, this must be kept in mind that human is the begetter of a tech boot. A robot can replace humans in a workplace where programmed memory, ultrahigh-speed, rigorous accuracy, literal precision, and quick work service are required.
SAP India and Microsoft on Thursday announced the launch of a joint skilling programme'TechSaksham' for empowering young women students from underserved communities to build careers in technology. Through the joint initiative, SAP India and Microsoft aims to skill 62,000 women students in areas like artificial intelligence, cloud computing, web design and digital marketing. The programme will work in collaboration with the AICTE Training and Learning Academy-ATAL and state collegiate education departments to support the professional development of faculty at participating institutes, a statement said. In the first year of implementation, the initiative will train 1,500 teachers and each faculty trained will be equipped to support over 50 students in one year, impacting 60,000-75,000 students, it added. The pan-India initiative will be implemented by Edunet Foundation that will develop future-ready skills in young women graduating in sciences, engineering, computer applications, and vocational studies.
Artificial Intelligence has grown into a formidable tool in recent years allowing robots to think and act like humans. Furthermore, it has attracted the attention of IT firms all around the world and is seen as the next major technological revolution following the growth of mobile and cloud platforms. It's even been dubbed the "4th industrial revolution" by some. Researchers have developed software that uses Darwinian evolution ideas, such as "survival of the fittest," to construct AI algorithms that improve generation to generation with no need for human intervention. The computer was able to recreate decades of AI research in only a few days, and its creators believe that one day it will be able to find new AI techniques.
The recent developments in Artificial Intelligence (AI) technologies challenge educators and educational institutions to respond with curriculum and resources that prepare students of all ages with the foundational knowledge and skills for success in the AI workplace. Research on AI Literacy could lead to an effective and practical platform for developing these skills. We propose and advocate for a pathway for developing AI Literacy as a pragmatic and useful tool for AI education. Such a discipline requires moving beyond a conceptual framework to a multi-level competency model with associated competency assessments. This approach to an AI Literacy could guide future development of instructional content as we prepare a range of groups (i.e., consumers, co-workers, collaborators, and creators). We propose here a research matrix as an initial step in the development of a roadmap for AI Literacy research, which requires a systematic and coordinated effort with the support of publication outlets and research funding, to expand the areas of competency and assessments.
In interviews, 17 current and former Blizzard Entertainment employees across the United States and Europe shared accounts of a workplace that didn't take complaints to human resources seriously and normalized misconduct. Many of them spoke on the condition of anonymity for fear of retaliation. Many workers told The Post the lawsuit allegations did not surprise them and were reflective of a culture where victims feared retaliation for speaking up. According to employees interviewed for this story, the culture impacted not only women, but men and marginalized genders, too. Employees with diverse backgrounds told The Post they had faced harassment and misconduct from co-workers and reported it to human resources, but it led to no punishment nor produced any change.
The machines are not becoming human. Among those technologists at the forefront of artificial intelligence (AI) -- those developing its deep learning algorithms, probabilistic graphical models and layered neural networks -- this is common, if not humbling, knowledge. What the machines are doing is imitation, without agency. At their most sophisticated when fed massive data sets, AI frameworks, representations and programming imitate a slice of the human brain process. While exciting brain research initiatives are underway, almost every aspect of the brain remains underinvestigated and partially understood at best.
A recent IDC survey revealed that 62% of IT and business leaders believe their organizations will expand resiliency plans in 2021 and 2022 to support unique requirements of the pandemic. But what does that mean exactly? Traditionally, resiliency has been framed in terms of responding to business disruptions and restoring operations in a timely fashion. However, this definition of resiliency is no longer enough - it's not enough to simply respond or restore. Digital resiliency shifts the focus from responding reactively to adapting and moving forward proactively.