This white paper is a response to Industry Canada’s public call for expert consultation on AI and Copyright. The consultation had specific questions, which are reproduced with our
answers, below.
Category: 3/ Type
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Public Consultation: AI & Copyright, Canada
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Travailleurs du savoir, l’IA changera votre quotidien
Les professionnels et les travailleurs du savoir, en particulier ceux qui n’ont pas encore utilisé l’intelligence artificielle (IA), peuvent être enclins à avoir de fausses idées qui masquent l’ampleur des perturbations à venir.
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BrainStat: A toolbox for brain-wide statistics and multimodal feature associations
Analysis and interpretation of neuroimaging datasets has become a multidisciplinary endeavor, relying not only on statistical methods, but increasingly on associations with respect to other brain-derived features such as gene expression, histological data, and functional as well as cognitive architectures. Here, we introduce BrainStat – a toolbox for (i) univariate and multivariate linear models in volumetric and surface-based brain imaging datasets, and (ii) multidomain feature association of results with respect to spatial maps of post-mortem gene expression and histology, task-based fMRI meta-analysis, as well as resting-state fMRI motifs across several common surface templates. The combination of statistics and feature associations into a turnkey toolbox streamlines analytical processes and accelerates cross-modal research. The toolbox is implemented in both Python and MATLAB, two widely used programming languages in the neuroimaging and neuroinformatics communities. BrainStat is openly available and complemented by an expandable documentation.
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Strengthening Data Protection: Ensuring Privacy and Security for Nigerian Citizens
This Policy Brief examines the existing data protection regime both in Nigeria and globally and suggests ways to improve the data protection efforts in Nigeria. It considers Nigeria’s principal data protection laws, generally applicable across all sectors (including public and private institutions). By examining and juxtaposing some of the exemptions in legislation, an opportunity for abuse of data subjects’ rights may have been inadvertently created by laws that were enacted to do otherwise. This Policy Brief proffers preferable outcomes that may guide engagement with policymakers to rectify this situation.
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Data journalism and investigative news reporting practices during the pandemic: The case of Zimbabwe and South Africa
This chapter interrogates the opportunities and challenges provided by data journalism to investigative journalists during the pandemic. Our findings reveal a paradoxical contribution of data journalism to investigative journalism. On the one hand, unprepared newsrooms and journalists found it hard to understand the practice, whose demands were “foreign” to some journalists. Yet on the other hand, data-driven journalism provided immense opportunities to investigative journalists to play their monitory role more effectively – holding the ruling elites to account, providing “lively and real-time” fact-based news on the pandemic, countering state propaganda on the pandemic and widening investigative journalists’ news sourcing routines.
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Unveiling AI Concerns for Sub-Saharan Africa and its Vulnerable Groups
In Sub-Saharan Africa (SSA), artificial intelligence is still in its early stages of adoption. To ensure that the already existing class imbalance in SSA communities does not hinder the realization of the Sustainable Development Goals, such as data security, safety, and equitable access to AI technologies, acceptable reliability measures must be put in place (as policies). This paper identifies some of the vulnerabilities in AI and adds a voice to the risks and ethical concerns surrounding the use of AI and its impact on SSA and its vulnerable groups. Our systematic literature review of related research between January 2014 and June 2024 shows the current state of AI adoption in SSA and the socio-political challenges that impact its development, revealing key concerns in data Governance, safety privacy, educational and skill gaps, socioeconomic impacts, and stakeholder influence on AI adoption in SSA. We propose a framework for designing data governance policies for the inclusive use of AI in SSA.
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Do They Really Care about Us? On the Limits of State Intervention
This paper examines the limits of state intervention through the relationship between freedom and equality, the rule of law and social justice, as well as through two highly contradictory concepts regarding the scope of government action – the concepts of minimal state and paternalistic state. Accordingly, we seek to identify a model capable of outlining the extent to which the state can intervene in the light of socially beneficial goals, but without compromising individual freedom. Since we cannot find such a model within the extreme positions of liberalism and socialism, this paper seeks to offer a satisfactory solution by mitigating some of the ideologically exclusive positions. It embraces Aristotle’s teaching about the middle as a virtue and proposes sophisticated neoliberalism as a potential alternative to the status quo. Still, as insisted, the government should never be allowed to assume uncontrollable powers and create conditions for collectivist doctrines that recognize no individual freedom.
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Book Review: Litigating Artificial Intelligence by Jesse Beatson, Gerold Chan, and Jill R. Presser
It is no longer news that artificial intelligence (AI) is being deployed across the board in the legal industry, although the extent of AI use varies by jurisdiction.
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Several presentations, including “Taking the Lead in SWE: An Asian Perspective.”
Dr. Bhaduri will be presenting at the Society of Women Engineers, with whom she is a Senator. Several events are online for interested persons. Dr. Bhaduri is an accomplished technologist and educator, as well as being excellent speaker and is appreciated for her wit, her precision, and her kindness.
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Artificial intelligence practices in everyday news production: The case of South Africa’s mainstream newsrooms
This article explores artificial intelligence (AI) uptake in selected South African mainstream newsrooms. It seeks to determine the extent to which AI has been adopted and how journalists and editors perceive its appropriation in newsmaking practices. To address these two broad aims, the study used in-depth interviews with journalists and editors. Our findings suggest a slow, varied but methodical uptake of AI practices in South Africa’s mainstream newsrooms. We deduced three uses of AI in these newsrooms. The first is what we call the holistic appropriation of AI. The second one is the exclusively technological appropriation of AI, and the last one is the task-specific appropriation of AI. This varied uptake of AI is taking place against a deep-seated skepticism with this technology.
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Preparing engineering students to find the best job fit: Starting early with the career development process
In spite of the vast amount of literature that focuses on the need for significantly more science, technology, engineering, and mathematics (STEM) graduates, the importance of a student finding a good career fit, and what makes a student employable, little research exists on undergraduate engineering students’ understanding of the process of how to find, qualify for, and secure a preferred first position after graduation (FPAG). Likewise, it is important for research to consider nuanced distinctions within STEM fields to assist research to practice transitions. Competition in securing jobs upon graduation is expected to continue, including for engineering positions. In fact, even in a market of high demand for STEM graduates, employers need candidates that display the skills, interests, and readiness to be successful employees.
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Work in progress: Coloring Outside the Lines-Exploring the Potential for Integrating Creative Evaluation in Engineering Education
Extant cultures within academic institutions that educate and train the next generations of STEM professionals tend to privilege long-held majority perspectives of knowing, thinking, and doing in science and engineering. To more intentionally recruit and include diverse groups of students into our educational programs, it is imperative that we develop and adopt unique pedagogical and assessment approaches that move beyond didactics, leverage experiential learning, and embrace a variety of student backgrounds and identities. In this paper, we demonstrate how visual methods-based assessments can serve as an impactful alternative to more traditional forms. We start by introducing three examples currently used in STEM curricula, and then by describing how these assessments promote autonomy and creativity as students make meaning of STEM and of themselves as STEM professionals. We conclude the description of each assessment example by identifying key considerations for STEM instructors when attempting to implement such assessments in their own contexts.