Did you know Mariarosaria Taddeo, the Deputy Director of the Oxford Internet Institute's Digital Ethics Lab, is speaking at TNW2020 this year? Check out her session on'Shaping the future of AI: International policy outlook' here. Artificial intelligence is increasingly affecting our everyday lives. The field has the potential to make the world a healthier, wealthier, and more efficient place. But it also poses vast safety and security risks.
Some of the world's most advanced countries in terms of artificial intelligence (AI) are not prioritising and practicing responsible AI, a report from Oxford Insight and the International Development Research Centre (IDRC) has warned. In 2019, the Government AI readiness index reported that the UK led the world in terms of government use of AI. But the latest update for 2020 found that while the UK is still a leader on government AI, it lags many other countries in terms of the responsible use of AI. Richard Stirling, CEO of Oxford Insight, said AI was transforming banking and the way governments interact with citizens, but "that transformation is not happening in the same way in every country around the world". The index puts European countries in a strong position for AI adoption.
AI LAW, ETHICS, PRIVACY & LEGALITIES - DR. PAVAN DUGGAL -CLU AN INTRODUCTION TO THE WONDERFUL WORLD OF DIFFERENT TOPICS UNDER ARTIFICIAL INTELLIGENCE LAW What you'll learn Description This course provides a holistic perspective of some of the important issues and topics that are gaining significance in the evolving Artificial Intelligence Law discipline. This course further tries to highlight the directions in which Artificial Intelligence Law as an emerging discipline is likely to evolve, with the passage of time. Who this course is for: Any student of any age group, who is interested in knowing about the complex legalities as also legal, policy and regulatory issues concerning Artificial Intelligence.
We have an opportunity to lead revolutionary change -- to disrupt business models, solve global and economic challenges and fundamentally transform human experiences. It enables us to extend not only ourselves and our abilities, but also our connection with the world. Consider the current global Covid-19 pandemic and the way the world shifted online in an instant. Despite the closure of physical borders, we have become more open. Technology has created a boundaryless global community, allowing us to instantly connect and communicate, irrespective of geography.
The Vatican's Pontifical Academy for Life, which began the year by urging the ethical development and application of artificial intelligence (AI), has announced an effort to use technology to fight world hunger, which has worsened during the pandemic. The Vatican institution, in collaboration with IBM, Microsoft and the UN Food and Agriculture Organization, or FAO, is encouraging governments, nonprofits and corporations to assure that technology is used to feed everyone, and to make farmers' lives more efficient and productive. In its quest to assure the transparent, responsible and inclusive use of AI, the Vatican and FAO are pushing for solutions in agriculture that will benefit not just the well off, but also the poor. "We need to face the biggest challenges on the planet," said John E. Kelly III, executive vice president of IBM. Kelly, who participated in the FAO and Pontifical Academy's Sept. 24 virtual conference announcing the effort against hunger, was one of the signers of the Vatican's call for AI ethics in February. The Vatican's effort to promote ethical AI for social good includes a new program to use digital technology to ensure a more sustainable and efficient global food supply.
It was reported that Venture Capital investments into AI related startups made a significant increase in 2018, jumping by 72% compared to 2017, with 466 startups funded from 533 in 2017. PWC moneytree report stated that that seed-stage deal activity in the US among AI-related companies rose to 28% in the fourth-quarter of 2018, compared to 24% in the three months prior, while expansion-stage deal activity jumped to 32%, from 23%. There will be an increasing international rivalry over the global leadership of AI. President Putin of Russia was quoted as saying that "the nation that leads in AI will be the ruler of the world". Billionaire Mark Cuban was reported in CNBC as stating that "the world's first trillionaire would be an AI entrepreneur".
How is AI Ethics and Responsible AI currently being taught in Computer Science and Engineering Curriculums across Africa? What issues related to this topic are relevant to students and faculty? And what roadblocks or challenges are instructors facing to bring more discussion of AI ethics to classrooms? The goal of this workshop is to foster a discussion on how to effectively integrate AI Ethics into Computer Science/Engineering programs at African Universities. This is an initial step to gather perspectives on the current situation at representative universities in different countries in Africa, and to initiate a discussion on how we can better support each other with lessons learned and share materials/curriculums to further develop AI ethics programs in higher education. After identifying the current state, the interests of students and faculty and the needs of departments in this workshop session, the goal is to continue the series with more in-depth workshops on specific topics.
We have found that AI is a common tool used by businesses in the digital TV or over-the-top streaming media space. With high acquisition costs and escalating content costs, operators are looking for a rich content platform that drives user engagement and value with data. By providing richer, data-backed insights into audience preferences and behaviours, AI has provided the opportunity for marketers in this space to cut through the noise of local regional content and create customised offerings for different customer segments through storytelling. We have been able to apply these learnings to other clients, who are now using large-scale AI and data analytics to predict and understand customer behaviour and create more meaningful engagement along their customer journey. For example, a client of ours in the quick service restaurant (QSR) segment was seeking a solution to trigger repeat customer orders via their app.
In February of this year, the Department of Defense (DoD) issued five Ethical Principles for Artificial Intelligence (AI): Responsible, Equitable, Traceable, Reliable and Governable. The DoD principles build off recommendations from 2019 by the Defense Innovation Board and the interim report of the National Security Commission on AI (NSCAI). The defense industry and others in the private sector have also been considering ethical issues regarding AI, including the issue of whether businesses should have an AI code of ethics. When cyber first became an issue about 22-years ago, the trend was to raise awareness and think through the consequences. Similarly, now we are developing awareness of the issues and beginning to think through the consequences of AI.
Artificial intelligence has become a technological buzzword, often solely referred to AI rather than depicting the possibly infinite amount of practical applications that artificial intelligence can actually provide, or the intricacies involved from industry to industry, and region to region. To discuss some of the many applications for artificial intelligence, as well as some of the considerations to be taken into account to create more accurate and less biased machine learning systems, I had the pleasure of speaking with Nitendra Rajput, VP and Head of Mastercard's AI Garage. Nitendra Rajput is the Vice President and Head of Mastercard's AI Garage, setting up the centre to enable it to solve problems across various business verticals globally with machine learning processes, increasing efficiencies across the business as well as mitigating instances of fraud. Nitendra has over 20 years experience working in the fields artificial intelligence, machine learning, and mobile interactions, after realising a gap in the market for developing speech recognition systems for vocally-led countries, such as India. Prior to Mastercard's AI Garage, he spent 18 years at IBM Research, working on different aspects of machine learning, human-computer interaction, software engineering and mobile sensing.