Areas of Practice
Human-Centered AI Strategy
AI adoption requires more than just technology implementation. A truly effective approach places a focus on people as well as processes in order to maximize outcomes.
Organizations need to embrace a culture of change that balances technological innovation with human needs and organizational goals.
Ethical Frameworks
Our AI ethics consulting helps organizations develop comprehensive ethical frameworks that guide the design, development, and use of AI systems by defining key principles, such as fairness, transparency, accountability, and privacy, and translates them into actionable guidelines for AI teams.
Liability & Risk
Responsible AI requires addressing key ethical concerns including algorithmic bias, where AI models trained on biased data can make discriminatory decisions, disproportionately impacting marginalized groups.
Privacy violations that can infringe on individual privacy rights, and the lack of transparency in black box algorithms that makes accountability difficult.
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