responsible

The Role of Women in Artificial Intelligence: An Interview with Allison Cohen, Developer of Ethical AI Initiatives

Women In Ai Cohen
Allison Cohen is the senior applied AI projects manager at Mila, a Quebec-based community of more than 1,200 researchers specializing in AI and machine learning. One of the projects I managed involved building a dataset containing instances of subtle and overt expressions of bias against women. I learned firsthand why this process is fundamental to building responsible applications, and also why it’s not done enough — it’s hard work! What advice would you give to women seeking to enter the AI field? How can investors better push for responsible AI?

A Call for Responsible AI Practices: Brandie Nonnecke of UC Berkeley Urges Investors to Take Action for Women in AI

Women In Ai Nonnecke
Nonnecke also co-directors the Berkeley Center for Law and Technology, where she leads projects on AI, platforms and society, and the UC Berkeley AI Policy Hub, an initiative to train researchers to develop effective AI governance and policy frameworks. I’ve been working in responsible AI governance for nearly a decade. First, The University of California was the first university to establish responsible AI principles and a governance structure to better ensure responsible procurement and use of AI. For women entering the AI field, my advice is threefold: Seek knowledge relentlessly, as AI is a rapidly evolving field. Investors have the power to shape the industry’s direction by making responsible AI practices a critical factor in their investment decisions.

Responsible AI: Utilizing Data Science by Francine Bennett

Women In Ai Lovelace
Prior to this, she worked in biotech, using AI to find medical treatments for rare diseases. She also co-founded a data science consultancy and is a founding trustee of DataKind UK, which helps British charities with data science support. We ask this question a lot at the Ada Lovelace Institute, which aims to make data AI work for people and society. How can investors better push for responsible AI? By asking questions about their investments and their possible futures – for this AI system, what does it look like to work brilliantly and be responsible?

“AI and Privacy: A Senior Counsel’s Perspective on the Role of Women in the Field”

Women In Ai Richardson
Rashida Richardson, senior counsel, AI at MastercardBriefly, how did you get your start in AI? On the second point, law and policy regarding AI development and use is evolving. How can investors better push for responsible AI? Investors can do a better job at defining or at least clarifying what constitutes responsible AI development or use, and taking action when AI actor’s practices do not align. Currently, “responsible” or “trustworthy” AI are effectively marketing terms because there are no clear standards to evaluate AI actor practices.

“Feminine Forces in Artificial Intelligence: A Spotlight on Lee Tiedrich, Global Partnership on AI’s Leading Specialist”

Women In Ai Tiedrich
It’s very gratifying to help prepare the next generation of AI leaders to address multidisciplinary AI challenges. I recently called for a global AI learning campaign in a piece I published with the OECD. To reduce potential liability and other risks, AI users should establish proactive AI governance and compliance programs to manage their AI deployments. Furthermore, in our increasingly regulated and litigious AI world, responsible AI practices should reduce litigation risks and potential reputational harms caused by poorly designed AI. Additionally, even if not addressed in the investment agreements, investors can introduce portfolio companies to potential responsible AI hires or consultants and encourage and support their engagement in the ever-expanding responsible AI ecosystem.

A Concise Handbook for Promoting Ethical and Responsible Governance in Artificial Intelligence

Gettyimages 471112156
As AI applications continue to proliferate across industries, they hold the promise of revolutionizing customer experience, optimizing operational efficiency, and streamlining business processes. In recent years, concerns about ethical, fair, and responsible AI deployment have gained prominence, highlighting the necessity for strategic oversight throughout the AI life cycle. The rising tide of AI applications and ethical concernsThe proliferation of AI and ML applications has been a hallmark of recent technological advancement. AI governance has emerged as the cornerstone for responsible and trustworthy AI adoption. Strong ethical and risk-management frameworks are essential for navigating the complex landscape of AI applications.

Trending now

Baby wearables, texts from dogs, and E-Ink cars • TechCrunch
The Future of Babies: Wearables, Text Messages from Furry Friends, and E-Ink Automobiles
Airmyne Prototype
AirMyne Harnesses Geothermal Energy for Direct Air Carbon Capture Expansion
Atomos tows a $16M load of funding to create tugboats in space • TechCrunch
Atomos Takes Off With $16M For Tugboats in Space
Instagram now lets you bookmark posts with friends and store them in a dedicated space
Create and Explore a Saved Space with Instagrams New Bookmarking Feature