The 3rd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in AI Ethics since October 2020. It aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the field's ever-changing developments. Through research and article summaries, as well as expert commentary, this report distills the research and reporting surrounding various domains related to the ethics of AI, including: algorithmic injustice, discrimination, ethical AI, labor impacts, misinformation, privacy, risk and security, social media, and more. In addition, The State of AI Ethics includes exclusive content written by world-class AI Ethics experts from universities, research institutes, consulting firms, and governments. Unique to this report is "The Abuse and Misogynoir Playbook," written by Dr. Katlyn Tuner (Research Scientist, Space Enabled Research Group, MIT), Dr. Danielle Wood (Assistant Professor, Program in Media Arts and Sciences; Assistant Professor, Aeronautics and Astronautics; Lead, Space Enabled Research Group, MIT) and Dr. Catherine D'Ignazio (Assistant Professor, Urban Science and Planning; Director, Data + Feminism Lab, MIT). The piece (and accompanying infographic), is a deep-dive into the historical and systematic silencing, erasure, and revision of Black women's contributions to knowledge and scholarship in the United Stations, and globally. Exposing and countering this Playbook has become increasingly important following the firing of AI Ethics expert Dr. Timnit Gebru (and several of her supporters) at Google. This report should be used not only as a point of reference and insight on the latest thinking in the field of AI Ethics, but should also be used as a tool for introspection as we aim to foster a more nuanced conversation regarding the impacts of AI on the world.

Gartner predicts that "by 2022, 70 percent of white-collar workers will interact with conversational platforms on a daily basis." As a result, the research group found that more organizations are investing in chatbot development and deployment. IBM Business Partners like Sopra Steria are making chatbot and virtual assistant technology available to businesses. Sopra Steria, a European leader in digital transformation, has developed an intelligent virtual assistant for organizations across several industries who want to use an AI conversational interface to answer recurrent customer service questions. In developing our solution, we at Sopra Steria were looking for AI technology that was easy to configure and could support multiple languages and complex dialogs.

Three-quarters of government decision-makers struggle to select the right artificial intelligence solutions for their projects, a new report found. Still, 61% of respondents to a KPGM survey said AI is moderately to fully functional in their organization, according to "Thriving in an AI World," a report the professional services firm released March 9. And in the next two years, respondents said they plan to use AI to improve process automation (48%) and analytics (40%). To determine the best AI solutions, agencies must first define their use case, said Rob Dwyer, KPMG advisory principal specializing in technology in government. Robotic process automation is a common entry point to AI in the public sector because vendors in that area are well established, and it's relatively easy to earn small wins that can drive support for other AI efforts, he said.

Data science has proven to be successful in addressing a wide range of real-world issues, and it is increasingly being used across industries to enable more intelligent and well-informed decision-making. There is a need for intelligent machines that can understand human actions and job habits as the use of computers for day-to-day business and personal operations expands. This pushes big data analytics and data science to the foreground. Women have made enormous advances in AI research in recent years. In this article, Analytics Insight presents you the list of Greatest Female AI Influencers in the Data Science World in 2021.

Deloitte introduced ReadyAI, a full portfolio of capabilities and services to help organizations accelerate and scale their artificial intelligence (AI) projects. ReadyAI brings together skilled AI specialists and managed services in a flexible AI-as-a-service model designed to help clients scale AI throughout their organizations. The AI market is expected to exceed $191 billion by 2024, growing at 37% compound annual growth rate. As organizations accelerate their adoption of AI, many struggle with challenges such as limited access to specialized talent, slow development cycles, and the resources to continuously maintain AI models. Creating and sustaining AI models at scale typically requires people with capabilities across data science, IT operations and user experience (UX) who work seamlessly towards a common goal.

A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible and effective, ethics-based auditing should take the form of a continuous and constructive process, approach ethical alignment from a system perspective, and be aligned with public policies and incentives for ethically desirable behaviour. Third, we identify and discuss the constraints associated with ethics-based auditing. Only by understanding and accounting for these constraints can ethics-based auditing facilitate ethical alignment of AI, while enabling society to reap the full economic and social benefits of automation.

A recent Accenture report found that just 7% of organizations can be considered'future-ready'. I ... [ ] spoke with Manish Sharma, Group Chief Exec of Accenture Operations, about what this means for the near future of work and promoting human potential. Business leaders have been banging the drum of digital transformation for some time now, but some have galvanized that enthusiasm into practice much more effectively than most. In fact, according to a recent Accenture report, 7% of organizations (considered'future-ready') are around twice as efficient and three times as profitable as their peers. So how have these companies shot so far ahead of the rest, and what does this mean for organizational structures and employment as we transition into a more digitized future?

For the past few years, artificial intelligence has become a buzzword in the tech sphere. As more advancements in technology are taking center stage, more companies and people are jumping into the pool of artificial intelligence. With exploding population and high-end experts, India is one of the front-running countries that are striving to streamline artificial intelligence. Because of the country's never-ending efforts, artificial intelligence recruiters and recruiting are also mushrooming. AI recruiters in India, especially, from big companies are seeking talented candidates in machine learning engineering, robotic scientist, data scientist, research analyst, business intelligence developer, etc. Analytics insight has listed the top 10 artificial intelligence recruiters from top-notch companies who could brighten your future.

Do millennials face economic uncertainty in the future? As employment increasing become more automated, McKinsey & Company (Global management consultants) predicts that, "60% of all work activities could be automated by 2055". As far back as the 16th century, mechanisation was introduced in the form of looms, that were used to weave the material used for stockings and rugs. However, Queen Elizabeth I, was very reluctant to encourage this industry as she felt that "stocking knitters" would become redundant in this field. By the 19th century, textile workers were facing life changing inventions, as the Industrial Revolution became the catalyst to transform economies based on steam-powered machines.

In a new survey of over 700 C-suite executives and IT decision-makers examining AI adoption in the enterprise, Juniper Networks found that 95% of respondents believe their organization would benefit from embedding AI into their daily operations. However, only 6% of those respondents reported adoption of AI-powered solutions across their business. The findings agree with other surveys showing that, despite enthusiasm around AI, companies struggle to deploy AI-powered services in production. Enterprise use of AI grew a whopping 270% over the past several years, Gartner recently reported, while Deloitte says 62% of respondents to its corporate October 2018 study adopted some form of AI, up from 53% in 2019. But adoption doesn't always meet with success, as the roughly 25% of businesses that have seen half their AI projects fail will tell you.