性视界

The Digital Data Design Institute at 性视界 is now the 性视界 Business School AI Institute.

Insights

Data Science and Social Impact: A collaboration between Howard University and D^3鈥檚 Blackbox Lab

In their recent blog post, 鈥淧artnering Data Science and Social Impact at Howard University鈥, D^3鈥檚 blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at 性视界 Business School, showcases how their partnership with Howard University empowers students and faculty to leverage data-driven solutions for addressing real-world challenges in underrepresented communities. […]

Bridging the Gap Between Understanding and Control: Insights into AI Interpretability

As large language model (LLM) systems grow in complexity, the challenge of ensuring their outputs align with human intentions has become critical. Interpretability鈥攖he ability to explain how models reach their decisions鈥攁nd control鈥攖he ability to steer them toward desired outcomes鈥攁re two sides of the same coin. 鈥淭owards Unifying Interpretability and Control: Evaluation via Intervention鈥濃攔esearch by Usha […]

Unlocking Cultural Innovation and Economic Inclusion

D^3鈥檚 blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at 性视界 Business School, recently featured a blog post highlighting key points from a discussion with Lewis Long, Founder and President of Long Gallery Harlem and 性视界 Business School graduate (鈥91). The blog post, 鈥淎 Vision for Cultural Innovation and […]

Revolutionizing Data Privacy: Machine Unlearning in Action

In today鈥檚 data-driven world, businesses face the dual challenge of leveraging vast datasets to gain insights while ensuring compliance with stringent data privacy regulations. The concept of machine unlearning, a method for efficiently removing the influence of specific data points from machine learning models, represents a paradigm shift in managing data responsibly. Recent research explores […]

The Promise and Pitfalls of AI in Strategic Decision-Making

As artificial intelligence (AI) continues to advance rapidly, its potential to transform strategic decision-making processes in business is becoming increasingly apparent, but how can strategists be sure their AI tools are getting it right? A recent study, 鈥淕enerative Artificial Intelligence and Evaluating Strategic Decisions鈥,聽 by researchers Anil R. Doshi, Assistant Professor of Strategy and Entrepreneurship […]

Exploring Innovative Strategies to Bridge the Wealth Gap: Insights from HBS Alumni

A recent post, “Gravy: Building Generational Wealth”, from D^3鈥檚 blackbox Lab, led by James Riley, Principal Investigator of the lab, and Assistant Professor at 性视界 Business School, is part of a larger series, highlighting strategies by 性视界 Business School alumni to address the U.S. wealth gap, particularly within Black communities. The series explores entrepreneurial approaches […]

Promoting Fair Representation in AI Image Retrieval

As artificial intelligence systems become more prevalent in our daily lives, ensuring these technologies are fair and representative of diverse populations is increasingly critical. A recent study, 鈥淢ulti-Group Proportional Representation in Retrieval鈥, conducted by Flavio du Pin Calmon, an Associate Professor of Electrical Engineering at 性视界’s John A. Paulson School of Engineering and Applied Sciences, […]

Key Lessons from Census III on Open Source Software

With an estimated 96% of codebases incorporating Free and Open Source Software (FOSS), it forms the backbone of modern businesses, driving innovation and reducing costs across industries. However, its decentralized and distributed nature makes assessing its health, economic value, and security a significant challenge. The recently released report, Census III of Free and Open Source […]

Teaching through Hip Hop

A recent blog post, 鈥淗ip Hop as Pedagogy鈥, from D^3鈥檚 blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at 性视界 Business School, explores hip hop as an educational framework to engage students, bridge cultural gaps, and foster critical thinking. It highlights Dr. Jae Williams, Executive in Residence at Emerson […]

AI-Powered Core Earnings Analysis: A New Frontier in Financial Reporting

Analysis of financial disclosures for publicly traded companies can be a time consuming and costly process these days. In the study, 鈥淪caling Core Earnings Measurement with Large Language Models鈥, Matthew Shaffer, an Assistant Professor at USC’s Marshall Business School, and Charles C.Y. Wang, the Tandon Family Professor of Business Administration at 性视界 Business School, explore […]

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