Brexit: The Y2K of This Generation?

ITNOW ◽  
2020 ◽  
Vol 62 (2) ◽  
pp. 58-59
Author(s):  
Johanna Hamilton
Keyword(s):  
Artificial Intelligence ◽  
Law Firm ◽  
Technology Sector ◽  
Working Day ◽  
The Uk ◽  
Global Law

Abstract Charlotte Walker-Osborn, MBCS, is a Partner and International Head of both the Artificial Intelligence Group and the Technology Sector at the global law firm, Eversheds Sutherland. Talking on the first working day after Brexit, she tells Johanna Hamilton AMBCS her thoughts on the UK as one of the global leaders in technology and how we must keep the momentum going.

Leveraging Twitter Using Artificial Intelligence to Explore Mental Health Insights in the UK During the COVID-19 Pandemic (Preprint)

2021 ◽  
Author(s):  
Christopher Marshall ◽  
Kate Lanyi ◽  
Rhiannon Green ◽  
Georgie Wilkins ◽  
Fiona Pearson ◽  
...  
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Language Processing ◽  
Mental Health Problems ◽  
Well Being ◽  
Research Activity ◽  
Health Crisis ◽  
Key Topics ◽  
The Uk ◽  
The Impact

BACKGROUND There is increasing need to explore the value of soft-intelligence, leveraged using the latest artificial intelligence (AI) and natural language processing (NLP) techniques, as a source of analysed evidence to support public health research activity and decision-making. OBJECTIVE The aim of this study was to further explore the value of soft-intelligence analysed using AI through a case study, which examined a large collection of UK tweets relating to mental health during the COVID-19 pandemic. METHODS A search strategy comprising a list of terms related to mental health, COVID-19, and lockdown restrictions was developed to prospectively collate relevant tweets via Twitter’s advanced search application programming interface over a 24-week period. We deployed a specialist NLP platform to explore tweet frequency and sentiment across the UK and identify key topics of discussion. A series of keyword filters were used to clean the initial data retrieved and also set up to track specific mental health problems. Qualitative document analysis was carried out to further explore and expand upon the results generated by the NLP platform. All collated tweets were anonymised RESULTS We identified and analysed 286,902 tweets posted from UK user accounts from 23 July 2020 to 6 January 2021. The average sentiment score was 50%, suggesting overall neutral sentiment across all tweets over the study period. Major fluctuations in volume and sentiment appeared to coincide with key changes to any local and/or national social-distancing measures. Tweets around mental health were polarising, discussed with both positive and negative sentiment. Key topics of consistent discussion over the study period included the impact of the pandemic on people’s mental health (both positively and negatively), fear and anxiety over lockdowns, and anger and mistrust toward the government. CONCLUSIONS Through the primary use of an AI-based NLP platform, we were able to rapidly mine and analyse emerging health-related insights from UK tweets into how the pandemic may be impacting people’s mental health and well-being. This type of real-time analysed evidence could act as a useful intelligence source that agencies, local leaders, and health care decision makers can potentially draw from, particularly during a health crisis.

scholarly journals Promotion to Partner in Large Law Firms Operating in the United Kingdom: Tournament Theory and the Monitoring of the Implied Promise

2021 ◽  
Author(s):  
◽  
David Howell Shufflebotham
Keyword(s):  
United Kingdom ◽  
Relevant Literature ◽  
Theoretical Framework ◽  
Law Firms ◽  
Law Firm ◽  
Tournament Theory ◽  
The United Kingdom ◽  
Core Elements ◽  
The Uk

<p>This research is a study of the promotion to partner process in large law firms in the United Kingdom (UK). It is concerned with the application of tournament theory to such firms. In particular it is an examination of the ability of associate lawyers to monitor the implied promise that, in prescribed circumstances, they will have the opportunity of becoming a partner at their firms. In order to identify whether or not the rules of tournament theory on promotion to partnership hold true when set against the experiences of lawyers in large law firms operating in the UK, I established a theoretical framework based on a review of the relevant literature. I then tested that theoretical framework with data from two sources: case study interviews with partners at a large UK law firm; and a questionnaire distributed to a wider sample group of partners across a number of large UK law firms. The research found strong evidence to support the application of the core elements of tournament theory to large law firms in the UK. The research also found, however, that the implied promise envisaged by tournament theory was not the promise monitored by the individuals who took part in the research project.</p>

Data governance is diverging across largest markets

2021 ◽  
Keyword(s):  
Business Models ◽  
The United States ◽  
Social Value ◽  
Data Governance ◽  
Content Type ◽  
Technology Sector ◽  
Privacy Law ◽  
Data Framework ◽  
The Uk ◽  
Individual Human

Significance The UK survey captures a sentiment now common across many countries that while data-enabled business models, products and services have generated tremendous economic and social value, they have also created new risks for privacy and data monopolies. Three of the largest digital markets -- the United States, Europe and China -- are responding with new frameworks for personal and business data, their responses profoundly influenced by their context. Impacts Concerns about individual human rights will guide the EU’s future revisions to the GDPR. China’s data framework will prioritise national security and the Communist Party’s interests. A US federal privacy law would seek to balance the interests of its technology sector and of online consumers.

Computer-generated Works under the CDPA 1988

2021 ◽  
pp. 177-195
Author(s):  
Jyh-An Lee
Keyword(s):  
Artificial Intelligence ◽  
Copyright Protection ◽  
Case Law ◽  
Legal Issues ◽  
Policy Perspective ◽  
Human Creativity ◽  
The Uk ◽  
The Right ◽  
Joint Authorship

Copyright protection in some commonwealth jurisdictions extends to computer-generated works. Although many scholars deem the right over computer-generated works to be a neighbouring right, it is still not clear under what circumstances a work is a computer-generated work. With the increasing application of artificial intelligence (AI), the copyright controversies associated with computer-generated works have become even more complicated. This chapter focuses on policy and legal issues surrounding the output of AI and copyright protection of computer-generated work under the Copyright, Designs and Patents Act (CDPA) 1988 in the UK. The CDPA approach to computer-generated work deviates from the mainstream international copyright practices, where human creativity is essential for authorship and copyright protection. From a policy perspective, it is important to explore whether this deviation can be justified. This chapter also investigates authorship issues concerning computer-generated works based on case law and its application, in particular who the person making the necessary arrangements is, and what the necessary arrangements in the AI environment are. Other issues relevant to computer-generated work, such as copyright term and joint authorship will be analysed as well.

scholarly journals Gender Differences in Professional Career Dynamics: New Evidence from a Global Law Firm

Economica ◽  
2020 ◽  
Vol 88 (349) ◽  
pp. 105-128
Author(s):  
Ina Ganguli ◽  
Ricardo Hausmann ◽  
Martina Viarengo
Keyword(s):  
Gender Differences ◽  
Law Firm ◽  
Professional Career ◽  
Global Law ◽  
New Evidence

Artificial intelligence: HR friend or foe?

2019 ◽  
Vol 18 (2) ◽  
pp. 47-51
Author(s):  
Peter Hogg
Keyword(s):  
Artificial Intelligence ◽  
Well Being ◽  
Business Leaders ◽  
Business Decision ◽  
Content Type ◽  
Use Of Technology ◽  
Challenges And Opportunities ◽  
The Uk ◽  
The Right ◽  
Productivity Dilemma

Purpose While the use of artificial intelligence (AI) in the workplace is on the rise, few understand how it will affect our jobs. Will it be a hindrance? A threat? Or the solution to the current productivity dilemma? As with any new, and largely untested, technology, AI brings both challenges and opportunities that we need to be conscious of. Design/methodology/approach The current and potential future implementation of AI technologies at Schneider Electric is assessed. Findings In HR, it is our responsibility to help navigate business leaders towards making the best business decision, often with the use of technology. AI, like analytics before it, has huge potential. Originality/value What we know for sure, is that the development of human talent has become one of the top priorities for global CEOs. With severe talent shortages in the UK, finding the right candidates for the job and investing in their professional development and well-being to keep them for longer look like no-brainers.

Part VIII The Future of the International Law of Tainted Money, 24 Virtual Currencies, Artificial Intelligence, and Emerging Legal Questions

2017 ◽  
Author(s):  
Firth-Butterfield Kay ◽  
Brent Richard ◽  
Grant Tom
Keyword(s):  
Artificial Intelligence ◽  
International Law ◽  
Financial Crime ◽  
Private Law ◽  
Societal Issues ◽  
Distributed Ledger ◽  
Legal Questions ◽  
Policy Statements ◽  
Near Term ◽  
The Uk

This chapter provides a background to technologies such as the distributed ledger (e.g., blockchain) that underlie virtual currencies such as Bitcoin. It also considers the concept-or range of concepts-that the expression ‘Artificial Intelligence’ (AI) denotes. The chapter then presents an overview of legislation and regulation adopted to date as relevant to virtual currencies in the UK, EU, and U.S. and of policy statements suggesting the near-term course that legislation might take. Turning to private law, the chapter considers issues that Bitcoin raises in relation to private law claims. Finally, it finishes by considering wider legal and societal issues entailed by the interplay of virtual currencies, AI, and financial crime.

Beijing Internet Court denies copyright to works created solely by artificial intelligence

2019 ◽  
Vol 14 (8) ◽  
pp. 593-594
Author(s):  
Ming Chen
Keyword(s):  
Artificial Intelligence ◽  
Law Firm

Abstract Beijing Feilin Law Firm v Baidu Corporation, No 239 [2019], Civil First Instance, Beijing Internet Court, 25 April 2019

Artificial intelligence: accelerator or panacea for financial crime?

2019 ◽  
Vol 26 (2) ◽  
pp. 634-646 ◽  
Author(s):  
Peter Yeoh
Keyword(s):  
Artificial Intelligence ◽  
Secondary Data ◽  
Financial Crime ◽  
Public And Private ◽  
Content Type ◽  
Competitive Edge ◽  
Business Cases ◽  
The Usa ◽  
The Uk ◽  
Administrative Sanctions

PurposeThis purpose of this viewpoint is to address the intended good and unintended bad impacts of artificial intelligence (AI) applications in financial crime.Design/methodology/approachThe paper relied primarily on secondary data resources, business cases and relevant laws and regulations, and it used a legal-economics perspective.FindingsCurrent AI systems could function as antidotes or accelerator of financial crime, in particular cybercrime. Research suggests criminal law could be applied via three approaches to curb these cybercrimes. However, others considered this to be an inappropriate mechanism to hold AI agents accountable, as present AI systems were not deemed capable of making ethically informed choices. Instead, administrative sanctions would be considered more appropriate for now. While keeping vigilance against AI malicious acts, regulatory authorities in the USA and the UK have opted largely for the innovation-friendly, market-oriented, permissionless approach over the state-interventionist stance so as to maintain their global competitive edge in this domain.Originality/valueThe paper reinforced the growing arguments that AI applications should be deployed more as panacea for financial crimes rather than being abused as crime accelerators. There equally though is the need for both public and private sectors to be mindful of the unintended negative, harmful consequences to society, especially those connected to cybercrime. This implied the further need to beef up attention and resources to help mitigate these risks.

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